{"id":"W7108327567","doi":"10.6084/m9.figshare.30759755","title":"Additional file 1 of Applications of social marketing for implementation science: a scoping review","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto","funders":"","keywords":"Set (abstract data type); Key (lock); Selection (genetic algorithm)","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":[0.007343799,0.00168619,0.003176917,0.01388106,0.001222139,0.003057006,0.002417452,0.002213313,0.8765805],"category_scores_gemma":[0.09289367,0.001201831,0.002632176,0.01988561,0.0005793679,0.004071147,0.00264411,0.001379563,0.09366163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003692155,"about_ca_system_score_gemma":0.008877152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009913876,"about_ca_topic_score_gemma":0.02167774,"domain_scores_codex":[0.9966311,0.0009186014,0.001294106,0.0004045699,0.0005202194,0.0002314846],"domain_scores_gemma":[0.8678542,0.1143968,0.005899446,0.001750736,0.009192383,0.0009063851],"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":[0.0006139213,0.00009594602,0.0007419874,0.246167,0.0002722465,0.00009305635,0.0003491742,0.0005138553,0.0001441846,0.003164509,0.7243064,0.02353779],"study_design_scores_gemma":[0.007558437,0.000364631,0.008795128,0.1169813,0.001543165,0.0003187039,0.0009365705,0.0009978097,0.0004795064,0.01296561,0.8488407,0.0002183607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001377638,0.0003803599,0.0004191291,0.0003322054,0.00004593933,0.001924922,0.9939652,0.0001994768,0.00259502],"genre_scores_gemma":[0.01183496,0.005801925,0.02296346,0.002701351,0.0003709972,0.1021377,0.8156497,0.001393781,0.03714613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8765805,"threshold_uncertainty_score":0.1760429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04923717677579051,"score_gpt":0.3721004755246009,"score_spread":0.3228632987488104,"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."}}