{"id":"W6977124053","doi":"10.6084/m9.figshare.19589381.v1","title":"Additional file 1 of Identifying essential implementation strategies: a mixed methods process evaluation of a multi-strategy policy implementation intervention for schools","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Process (computing); Intervention (counseling); Data collection; Program evaluation; Work (physics); Qualitative research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01614639,0.001099102,0.001185395,0.002658185,0.002307476,0.002350725,0.002347278,0.00160444,0.8922604],"category_scores_gemma":[0.1657556,0.0009477365,0.001512785,0.00398794,0.0006300786,0.003164975,0.001691513,0.00200485,0.09975161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003861575,"about_ca_system_score_gemma":0.01031887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288291,"about_ca_topic_score_gemma":0.02579599,"domain_scores_codex":[0.993608,0.003663966,0.0008944287,0.0004908919,0.0009755692,0.0003672521],"domain_scores_gemma":[0.7705486,0.199799,0.005845371,0.005806241,0.01599426,0.002006552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00177744,0.0007681455,0.00162363,0.008628136,0.00008938427,0.00003430757,0.0006385865,0.000911504,0.00004250892,0.003243641,0.9513448,0.03089789],"study_design_scores_gemma":[0.07223947,0.003543036,0.04229877,0.02174836,0.001084906,0.0002096167,0.004353192,0.005691888,0.00140941,0.02722046,0.8198274,0.0003733983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001164621,0.00004478128,0.001585262,0.0006440617,0.0001010033,0.01312077,0.9737799,0.0003805218,0.009179086],"genre_scores_gemma":[0.0533966,0.0004878497,0.05143589,0.002605125,0.0002531548,0.4589503,0.372435,0.001652459,0.05878358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8922604,"threshold_uncertainty_score":0.1536773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6865373732489575,"score_gpt":0.7363397587152808,"score_spread":0.04980238546632332,"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."}}