{"id":"W4224270713","doi":"10.31234/osf.io/c3auv","title":"Steven Pinker: Personal Takes","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Cognition; Sociology; Cognitive science; Psychology; History; Computer science; Programming language; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004549446,0.0001766541,0.0001821047,0.0001625397,0.0002360196,0.0003529213,0.001945388,0.00006399322,0.001389309],"category_scores_gemma":[0.00003751453,0.0001658247,0.0001531318,0.0002865504,0.00005174255,0.0002642719,0.002654857,0.0005263429,0.0001144648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008118015,"about_ca_system_score_gemma":0.0003923941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000859386,"about_ca_topic_score_gemma":0.00001277269,"domain_scores_codex":[0.9980748,0.00007244113,0.0001694172,0.000788803,0.0005829502,0.0003115426],"domain_scores_gemma":[0.9991668,0.0000634281,0.00009120815,0.000502046,0.00008413214,0.00009237085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009865224,0.0003295453,0.002809612,0.0002351616,0.0001779777,0.0003297792,0.02496097,0.0004219692,0.001260154,0.2108687,0.06405831,0.6945379],"study_design_scores_gemma":[0.0008403142,0.0003411295,0.02271073,0.0002589849,0.00004897714,0.0001155743,0.006268192,0.2669505,0.0009882961,0.08553816,0.6126278,0.003311322],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004764795,0.000296816,0.7284085,0.005152743,0.002616789,0.0003610391,0.00001828644,0.0005135996,0.2578674],"genre_scores_gemma":[0.8511504,0.00008767738,0.0909704,0.00749073,0.0005787601,0.0003190564,0.00004933559,0.0000296079,0.04932402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8463856,"threshold_uncertainty_score":0.9995236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383352588120484,"score_gpt":0.2803600758348641,"score_spread":0.2365265499536592,"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."}}