{"id":"W1622785625","doi":"","title":"ADAPTIVE AGENTS, LEARNING, AND ENVIRONMENTAL STRUCTURE: AN ALTERNATIVE APPROACH","year":2012,"lang":"en","type":"article","venue":"","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320982,0.0009650334,0.0009722475,0.002120535,0.001088847,0.005109633,0.00267649,0.002741476,0.01558476],"category_scores_gemma":[0.004347133,0.0003768191,0.001135691,0.001936395,0.006244528,0.00539034,0.002635744,0.002365037,0.001028421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249498,"about_ca_system_score_gemma":0.002131845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00602103,"about_ca_topic_score_gemma":0.007587105,"domain_scores_codex":[0.9988793,0.0005759176,0.00004254493,0.0001798502,0.0002397439,0.00008272489],"domain_scores_gemma":[0.9980557,0.001140377,0.0001649937,0.0002662969,0.0002105572,0.0001620115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002377698,0.00007398688,0.000709371,0.00008191,0.00006585377,0.00007275138,0.0005653024,0.0122325,0.0001447237,0.9707733,0.001081879,0.01417472],"study_design_scores_gemma":[0.00004692931,0.00008052003,0.0007320323,0.00005494467,0.00004158928,0.00009186754,0.0007941958,0.04441134,0.00008003687,0.938714,0.01492752,0.00002503648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02770727,0.00398335,0.702077,0.02402619,0.0007980193,0.0001236484,0.0002541044,0.0001459087,0.2408846],"genre_scores_gemma":[0.8074369,0.003622964,0.1515686,0.001945799,0.0008637512,0.0003934891,0.000101144,0.00008092908,0.03398632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01558476,"threshold_uncertainty_score":0.05213624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09461242117113722,"score_gpt":0.4037709368763604,"score_spread":0.3091585157052232,"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."}}