{"id":"W1990092159","doi":"10.3758/bf03192808","title":"BatMon II: Children’s category norms for 33 categories","year":2006,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Categorization; Cognitive psychology; Developmental psychology; Linguistics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005091661,0.0002537095,0.0003486212,0.0003238423,0.0009317661,0.0001045695,0.0004823811,0.0002241203,0.001176342],"category_scores_gemma":[0.0002561414,0.0002172673,0.0001800195,0.0004743104,0.0003032002,0.00008910657,0.000239361,0.0007650359,0.0002061321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563766,"about_ca_system_score_gemma":0.0001615773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283076,"about_ca_topic_score_gemma":0.00009556698,"domain_scores_codex":[0.9961742,0.001026557,0.0004247761,0.0007615914,0.0005080228,0.001104847],"domain_scores_gemma":[0.998284,0.0006009067,0.00008137308,0.0005630695,0.0002938948,0.0001767467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004547974,0.002072911,0.2633579,0.00004472688,0.0001112031,0.00007407899,0.003801264,0.000004862331,0.02532972,0.085551,0.06208649,0.5571111],"study_design_scores_gemma":[0.0008033921,0.0004632148,0.8443776,0.00001004987,0.00002694101,0.00003428935,0.0003941363,0.000003253921,0.00505686,0.002409224,0.146115,0.0003059953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655616,0.001150121,0.006170488,0.0007313297,0.0008928555,0.001982227,0.00007222772,0.0002655648,0.02317364],"genre_scores_gemma":[0.8309465,0.00001789039,0.08732497,0.00006602521,0.00096184,0.002189605,0.0002608575,0.0001231257,0.07810916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5810198,"threshold_uncertainty_score":0.9997367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691530530425577,"score_gpt":0.545034962112387,"score_spread":0.3758819090698293,"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."}}