{"id":"W3036283377","doi":"10.1177/0952695120903909","title":"Thinking in multitudes: Questionnaires and composite cases in early American psychology","year":2020,"lang":"en","type":"article","venue":"History of the Human Sciences","topic":"Academic and Historical Perspectives in Psychology","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Construct (python library); Psychology; Natural (archaeology); Embodied cognition; Scale (ratio); Epistemology; Social science; Social psychology; Applied psychology; Sociology; History; Computer science; Geography; Cartography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003900458,0.000106005,0.0002502431,0.0001741898,0.0001371307,0.000004644231,0.000680894,0.00007410595,0.00007705652],"category_scores_gemma":[0.00009115013,0.00008538988,0.00004085724,0.000336256,0.004298429,0.00007548693,0.00008934402,0.000362075,0.0000100842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354773,"about_ca_system_score_gemma":0.00003001816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002825892,"about_ca_topic_score_gemma":0.0003643775,"domain_scores_codex":[0.998583,0.0002994979,0.00029493,0.0004403135,0.0001731523,0.0002091682],"domain_scores_gemma":[0.9994112,0.0001456103,0.0002042837,0.0001724943,0.00001437746,0.00005201619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007648038,0.0001500113,0.8025587,0.000009144556,0.000009919125,0.00002882194,0.1376854,0.00001518482,0.001429488,0.04884673,0.007875359,0.001314744],"study_design_scores_gemma":[0.0004024134,0.0003336044,0.9863513,0.00003226268,0.000005577268,0.00001460083,0.001084575,0.00001095356,0.00000216266,0.004249975,0.00739438,0.0001182435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562228,0.003426139,0.00003362481,0.001789081,0.000954306,0.0001148038,0.000001134362,0.00002298166,0.03743516],"genre_scores_gemma":[0.9973575,0.00001977827,0.0002541862,0.001955969,0.00006040886,0.000008934549,1.08523e-7,0.000006250821,0.0003368483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837925,"threshold_uncertainty_score":0.9984113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0970926288909023,"score_gpt":0.3911434614112073,"score_spread":0.294050832520305,"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."}}