{"id":"W2168359206","doi":"10.1007/s10514-015-9500-x","title":"Modeling curiosity in a mobile robot for long-term autonomous exploration and monitoring","year":2015,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Context (archaeology); Mobile robot; Terrain; Motion planning; Robot; Underwater; Variety (cybernetics); Perception; Curiosity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002475294,0.0001694574,0.0002305507,0.0001067982,0.00007127915,0.0001100233,0.0001781264,0.00009929962,0.000001067513],"category_scores_gemma":[0.000003275609,0.0001871452,0.00003788176,0.00009853434,0.00001345195,0.0004682207,0.00006915857,0.0001258249,0.00001065056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311661,"about_ca_system_score_gemma":0.00003765821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009277324,"about_ca_topic_score_gemma":0.0001152238,"domain_scores_codex":[0.9990476,0.00003017561,0.0003540016,0.0002098854,0.00009327381,0.0002650986],"domain_scores_gemma":[0.9994627,0.00002672021,0.00003462301,0.0002996068,0.00005966669,0.0001167109],"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":[0.000007500889,0.00002793882,0.005302685,0.00005360248,0.00001466282,0.000001737836,0.002516991,0.9694958,0.001611389,0.00002074635,0.000004021671,0.02094298],"study_design_scores_gemma":[0.0008044987,0.00006519455,0.001401807,0.00008156835,0.00001177251,0.00001047147,0.0004334225,0.9927555,0.00353544,0.0003769573,0.0002360333,0.0002873133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6551503,0.002096193,0.3415715,0.00006229796,0.0001784967,0.0005341736,0.000002365185,0.0002935788,0.0001111008],"genre_scores_gemma":[0.9930206,0.0001621569,0.006149673,0.000009382473,0.0001083298,0.0004321345,0.00001581772,0.00004277283,0.00005915624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3378703,"threshold_uncertainty_score":0.7631559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07195631150883576,"score_gpt":0.2813759397025855,"score_spread":0.2094196281937498,"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."}}