{"id":"W2796746959","doi":"10.1016/j.jpain.2018.03.016","title":"Infant Clinical Pain Assessment: Core Behavioral Cues","year":2018,"lang":"en","type":"article","venue":"Journal of Pain","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Hospital for Sick Children; University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario","keywords":"Coding (social sciences); Construct validity; Internal consistency; Confirmatory factor analysis; Scale (ratio); Construct (python library); Face validity; Psychometrics; Data mining; Computer science; Medicine; Cognitive psychology; Psychology; Clinical psychology; Machine learning; Statistics; Mathematics; Structural equation modeling","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":[],"consensus_categories":[],"category_scores_codex":[0.02091701,0.0001393683,0.0004729057,0.0002800248,0.00005339081,0.00002576173,0.0002247356,0.0001340818,0.0002503975],"category_scores_gemma":[0.001644378,0.000109416,0.0002758916,0.00022685,0.0001663592,0.0001355224,0.00006558194,0.0005435568,0.00001383296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119711,"about_ca_system_score_gemma":0.0002003542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001558815,"about_ca_topic_score_gemma":0.000009528261,"domain_scores_codex":[0.9972025,0.0008610321,0.0009884515,0.0001513683,0.0005504352,0.0002462123],"domain_scores_gemma":[0.9979971,0.000526141,0.0006198655,0.0002853794,0.0003472665,0.0002242209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000876477,0.0003848581,0.757484,0.00002724019,0.00006248475,0.000300025,0.00005145933,6.855224e-8,0.0004052959,0.00005764877,0.2042238,0.03691548],"study_design_scores_gemma":[0.002219591,0.01051753,0.8344804,0.0003914483,0.0005301838,0.0001167237,0.000324426,0.001401139,0.00009129271,0.001533943,0.1481332,0.0002601582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8831789,0.0002421109,0.1090633,0.002696778,0.0005305997,0.0004017554,0.00000298539,0.0001392477,0.003744254],"genre_scores_gemma":[0.9358487,0.0002161579,0.05757209,0.003154537,0.00281272,0.000003827353,0.000004041235,0.00002278047,0.0003651379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07699639,"threshold_uncertainty_score":0.7249458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08005222438545138,"score_gpt":0.4509729638052373,"score_spread":0.3709207394197859,"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."}}