{"id":"W4386439855","doi":"10.1002/9781119862758.ch8","title":"Identifying Target Behaviours and Potential Barriers to Change (Phase 2a)","year":2023,"lang":"en","type":"other","venue":"","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Electricity Association; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Context (archaeology); Process management; Computer science; Action (physics); Behaviour change; Selection (genetic algorithm); Key (lock); Focus (optics); Knowledge management; Risk analysis (engineering); Management science; Data science; Psychology; Business; Engineering; Intervention (counseling); Artificial intelligence; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0697671,0.001127595,0.002047708,0.003733394,0.002991422,0.00551547,0.003202308,0.002468534,0.01800666],"category_scores_gemma":[0.09857238,0.001359005,0.002193174,0.003320225,0.00154444,0.006071327,0.007554588,0.005412475,0.004965219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009198177,"about_ca_system_score_gemma":0.0522008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573777,"about_ca_topic_score_gemma":0.02327613,"domain_scores_codex":[0.9710832,0.01466048,0.002547994,0.001678044,0.007805462,0.002224723],"domain_scores_gemma":[0.9445604,0.02920296,0.003364365,0.003691033,0.01689658,0.002284574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004611896,0.001732741,0.03941078,0.01710749,0.0001507576,0.0003898653,0.08275101,0.001982148,0.003002922,0.05662212,0.03405203,0.762337],"study_design_scores_gemma":[0.0004380858,0.002537552,0.1329779,0.03455129,0.0004438662,0.0006900456,0.1540455,0.01010045,0.01544357,0.07538614,0.5730413,0.0003442871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2451568,0.005399229,0.3435405,0.04402728,0.001381565,0.1824753,0.01510259,0.001616459,0.1613003],"genre_scores_gemma":[0.2186413,0.005213127,0.5249988,0.005907049,0.0001504778,0.2037206,0.006993807,0.0005011668,0.03387376],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0697671,"threshold_uncertainty_score":0.3689681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5642142534180896,"score_gpt":0.6686005673014216,"score_spread":0.104386313883332,"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."}}