{"id":"W4399496918","doi":"10.31219/osf.io/j9qpt","title":"Building Artificial Intelligence with Creative Agency and Self-hood","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Agency (philosophy); Novelty; Cognitive science; Identity (music); Computer science; Layperson; Artificial intelligence; Unpacking; Psychology; Sociology; Social psychology; Political science; Aesthetics; Social science","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":[0.00008774544,0.000234379,0.0002193914,0.00007534106,0.00008209605,0.0001842485,0.0001109674,0.00006431561,0.0008170076],"category_scores_gemma":[0.000001140187,0.0001771225,0.00007102259,0.00009078102,0.00004630742,0.00004041862,0.0004200452,0.000447154,0.00005988014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002783033,"about_ca_system_score_gemma":0.0001502847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308053,"about_ca_topic_score_gemma":0.000007155524,"domain_scores_codex":[0.9990022,0.00001822481,0.0002134922,0.0004443733,0.0001314143,0.0001903094],"domain_scores_gemma":[0.9995741,0.00002125038,0.00007313658,0.0001928212,0.00004782064,0.00009087344],"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":[0.000008978792,0.0001253556,0.0009902288,0.00009256976,0.0002947064,0.00000400558,0.0007558634,0.0002745819,0.00002567508,0.9636984,0.0005936709,0.03313591],"study_design_scores_gemma":[0.00005288763,0.0001208773,0.0006003455,0.0003295502,0.0002382876,0.000001801583,0.0009821575,0.01034642,0.002979108,0.9764002,0.007275996,0.000672359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5381665,0.0004086727,0.2734423,0.0007823334,0.0008670617,0.0005675781,0.0002089162,0.0003289409,0.1852277],"genre_scores_gemma":[0.9781045,0.00001344815,0.02016272,0.00001425192,0.0007399363,0.00003451966,0.00001413718,0.00002323101,0.0008932535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.439938,"threshold_uncertainty_score":0.894566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921734920295255,"score_gpt":0.2861416489950021,"score_spread":0.2669242997920496,"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."}}