{"id":"W1793586388","doi":"10.1007/978-3-540-74282-1_148","title":"Human-Like Learning Methods for a \"Conscious\" Agent","year":2007,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Autonomy; Unconscious mind; Cognitive science; Computer science; Cognition; Artificial intelligence; Psychology; Neuroscience","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":[0.001361301,0.0004742601,0.0004190153,0.0004355961,0.0005916748,0.001633913,0.001779355,0.001137506,0.007382663],"category_scores_gemma":[0.003185236,0.0002905944,0.0005321139,0.0003437016,0.002757047,0.00360953,0.001660731,0.001569336,0.001162214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007549652,"about_ca_system_score_gemma":0.0009633816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009925918,"about_ca_topic_score_gemma":0.001778155,"domain_scores_codex":[0.9995004,0.0002065582,0.00002844921,0.0001035046,0.0001342473,0.00002678366],"domain_scores_gemma":[0.9989033,0.0005800274,0.00004467499,0.0002811843,0.0001398165,0.00005106395],"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":[0.00002543089,0.00003845575,0.000168724,0.0001035146,0.0000258838,0.00002152124,0.0003017795,0.0178083,0.0009975412,0.8771506,0.004375046,0.09898314],"study_design_scores_gemma":[0.00001551265,0.00002434676,0.00007779692,0.00002423306,0.00001123654,0.00005086107,0.00004709675,0.1376012,0.001480968,0.8443521,0.01630174,0.000012915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002166983,0.00021692,0.9866017,0.000525031,0.00004353262,0.00002797349,0.00001388446,0.0003598627,0.01004415],"genre_scores_gemma":[0.1382773,0.0003361427,0.844757,0.0002393184,0.00007287831,0.0001482153,0.00005345841,0.0001350314,0.01598076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007382663,"threshold_uncertainty_score":0.02469748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040115190257547,"score_gpt":0.3994087488037918,"score_spread":0.2953972297780371,"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."}}