{"id":"W4318567983","doi":"10.1142/s270507852250014x","title":"Consciousness as a Trigger to Adaptation","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Consciousness","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Consciousness; Artificial consciousness; Cognitive science; Cognitive architecture; Cognition; Adaptation (eye); Extension (predicate logic); Architecture; State (computer science); Psychology; Epistemology; LIDA; Computer science; Philosophy","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":[0.001043308,0.0002814217,0.0003936039,0.0005659728,0.001200569,0.003249438,0.0008688585,0.002082568,0.008054971],"category_scores_gemma":[0.005704344,0.0003017454,0.0006486934,0.0003935986,0.004372854,0.003928055,0.003602244,0.002392851,0.001089368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386839,"about_ca_system_score_gemma":0.001352398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008391292,"about_ca_topic_score_gemma":0.0004077812,"domain_scores_codex":[0.9986216,0.0004248585,0.00005882395,0.0003282467,0.0002618241,0.0003047435],"domain_scores_gemma":[0.9981388,0.000785578,0.000146215,0.000400669,0.0002673981,0.0002613803],"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":[0.000126542,0.00007116269,0.002713564,0.0001899854,0.00005238099,0.001116072,0.004384629,0.002712061,0.01495747,0.9361516,0.003590516,0.03393399],"study_design_scores_gemma":[0.00004395903,0.00009738091,0.005742429,0.0001248624,0.00004503794,0.0005501269,0.001748264,0.008294364,0.006055977,0.937438,0.03979914,0.00006057294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2850668,0.00264081,0.2161355,0.02075294,0.001267313,0.0002599012,0.0002659106,0.00210392,0.4715069],"genre_scores_gemma":[0.9817888,0.0003797713,0.01022444,0.001034673,0.0001033853,0.00008358739,0.00006509184,0.0001321315,0.006188191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008054971,"threshold_uncertainty_score":0.02694654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05200417361782013,"score_gpt":0.3047946431416103,"score_spread":0.2527904695237902,"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."}}