{"id":"W2513741449","doi":"10.1007/s11121-016-0700-1","title":"Identifying and Predicting Distinct Patterns of Implementation in a School-Wide Behavior Support Framework","year":2016,"lang":"en","type":"article","venue":"Prevention Science","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Institute of Education Sciences","keywords":"Fidelity; Cohort; Health psychology; Latent class model; Psychological intervention; Class (philosophy); Abandonment (legal); Psychology; Medical education; Public health; Medicine; Computer science; Statistics; Nursing; Political science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008757899,0.00007619821,0.000115842,0.0001081423,0.0001023187,0.00002562567,0.0001641824,0.00004212936,0.002205284],"category_scores_gemma":[0.0001191253,0.00005162111,0.00003238801,0.0002912548,0.0001872574,0.0002684401,0.0001111088,0.00008007544,0.00002653419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224005,"about_ca_system_score_gemma":0.00001614632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502908,"about_ca_topic_score_gemma":0.0001342733,"domain_scores_codex":[0.9987768,0.00006525605,0.0003412066,0.0003442903,0.0002309874,0.000241449],"domain_scores_gemma":[0.9994865,0.00009030737,0.0001604446,0.0001460297,0.00004648331,0.00007023647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007079916,0.0000768712,0.8911061,0.00000416283,0.00000224073,0.000003117331,0.0005485537,5.38284e-9,0.002785104,0.0004805193,0.00001427085,0.1049719],"study_design_scores_gemma":[0.0003462892,0.00009819521,0.9952936,0.00008613915,0.00001516952,0.000004480054,0.000836623,1.135882e-7,0.0004289008,0.002782664,0.00003900884,0.00006877402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924768,0.0000523473,0.006401441,0.0001407089,0.0003514996,0.0002332293,0.00001585775,0.00002075134,0.0003073765],"genre_scores_gemma":[0.9991144,0.00001391562,0.0004448846,0.00002756367,0.00002030979,0.0001022112,0.000001271709,0.000003575828,0.0002718624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049032,"threshold_uncertainty_score":0.9987068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065208003201545,"score_gpt":0.4677843183778679,"score_spread":0.2612635180577134,"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."}}