{"id":"W4315432722","doi":"10.15803/ijnc.13.1_18","title":"Dynamic Line Maintenance by Hybrid Programmable Matter","year":2023,"lang":"en","type":"article","venue":"International Journal of Networking and Computing","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Line (geometry)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526662,0.0002384744,0.000394337,0.0004498531,0.0005708539,0.0007748068,0.000830912,0.0006689102,0.002156003],"category_scores_gemma":[0.0007891839,0.0002297158,0.0003389773,0.000266502,0.001081176,0.001000829,0.001168329,0.0003772162,0.0003074026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004720184,"about_ca_system_score_gemma":0.0001795283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004875043,"about_ca_topic_score_gemma":0.0003436243,"domain_scores_codex":[0.9998208,0.00003282952,0.000008557584,0.00006552895,0.00004068933,0.00003162147],"domain_scores_gemma":[0.9995253,0.00017308,0.0001046125,0.0001015184,0.00004211998,0.00005339419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005884098,0.0001756541,0.002002344,0.0002725119,0.00009519557,0.001149741,0.0005459007,0.5023023,0.1586286,0.2630727,0.003456362,0.06771038],"study_design_scores_gemma":[0.00005260096,0.0001566333,0.0003025738,0.00001110323,0.00001469279,0.0001924849,0.00006577936,0.9222378,0.01600661,0.05721976,0.0037117,0.00002835012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5034245,0.0007554389,0.4800944,0.0004401518,0.0002025726,0.00006277227,0.00007117916,0.001553758,0.01339512],"genre_scores_gemma":[0.9780475,0.0001096569,0.01870376,0.00006875624,0.00002002791,0.00004995992,0.00003586938,0.00004621356,0.002918204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002156003,"threshold_uncertainty_score":0.00721252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008137259009869035,"score_gpt":0.2381708704409412,"score_spread":0.2300336114310721,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}