{"meta":{"query_hash":"f2fb0156c05b","filters":{"venue":"International Conference on Mechatronics - Mechatronika"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f2fb0156c05b","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Conference+on+Mechatronics+-+Mechatronika"},"results":[{"id":"W2583894240","doi":"","title":"A hybrid collision avoidance system for indoor mobile robots based on human-robot interaction","year":2016,"lang":"en","type":"article","venue":"International Conference on Mechatronics - Mechatronika","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collision avoidance; Robot; Obstacle avoidance; Mobile robot; Computer science; Collision; Artificial intelligence; Collision avoidance system; Human–robot interaction; Path (computing); Robot control; Simulation; Human–computer interaction; Computer security; Computer network","score_opus":0.06103784358017829,"score_gpt":0.3357629303494463,"score_spread":0.27472508676926805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583894240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006532716,0.000028588938,0.9833522,0.002182133,0.004202969,0.0011183397,0.00016800228,0.0005573252,0.0018577141],"genre_scores_gemma":[0.9241695,0.000015540514,0.073573336,0.000277715,0.00031866576,0.0008019419,0.00007061298,0.00005632011,0.0007163824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99569327,0.00020455473,0.00075436715,0.0013322551,0.0012424533,0.0007731059],"domain_scores_gemma":[0.99674344,0.0005931389,0.0006146127,0.0011490049,0.0006714126,0.0002284022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009670429,0.0005447332,0.00048635516,0.00057538,0.0003664272,0.00042910269,0.0023458062,0.0001933976,0.00006203872],"category_scores_gemma":[0.00018149329,0.00043836312,0.00028637602,0.0001912035,0.000056880628,0.0008373346,0.00024543973,0.00041132502,0.00035285793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029410288,0.0003385438,0.000027265507,0.0000494281,0.00009745627,0.000034845507,0.00008895157,0.06502115,0.021487758,0.8855662,0.00067195774,0.026322339],"study_design_scores_gemma":[0.0030642461,0.0018231646,0.00002853077,0.0013578464,0.000022076376,0.00003366199,0.00009843771,0.9240278,0.057313368,0.009249277,0.0022926861,0.0006889288],"about_ca_topic_score_codex":0.000021709486,"about_ca_topic_score_gemma":0.0000039700426,"teacher_disagreement_score":0.91763675,"about_ca_system_score_codex":0.0016392078,"about_ca_system_score_gemma":0.00043246034,"threshold_uncertainty_score":0.9998068},"labels":[],"label_agreement":null}]}