{"id":"W3118540133","doi":"10.1007/s10926-020-09955-2","title":"Development of a Questionnaire Measuring Preventive Behaviors at Work","year":2021,"lang":"en","type":"article","venue":"Journal of Occupational Rehabilitation","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université du Québec à Trois-Rivières; Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Université de Sherbrooke","funders":"Réseau Provincial de Recherche en Adaptation-Réadaptation","keywords":"CLARITY; Representativeness heuristic; Content validity; Thematic analysis; Applied psychology; Psychology; Rehabilitation; Scale (ratio); Relevance (law); Health psychology; Work (physics); Medical education; Qualitative research; Medicine; Psychometrics; Clinical psychology; Nursing; Public health; Social psychology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008462531,0.0006750086,0.0009022033,0.002039622,0.0009694702,0.000836698,0.001194774,0.0009685294,0.003524936],"category_scores_gemma":[0.01283594,0.0006742869,0.001227708,0.0008577777,0.0003571657,0.0009765956,0.0009106872,0.001571531,0.001480183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009500608,"about_ca_system_score_gemma":0.004058457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007104069,"about_ca_topic_score_gemma":0.006696127,"domain_scores_codex":[0.9967315,0.001088717,0.0005932057,0.0002864254,0.000949936,0.000350272],"domain_scores_gemma":[0.984198,0.005956008,0.001120072,0.0008051859,0.006796216,0.001124523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009195681,0.01598442,0.6271081,0.0006709257,0.0001499857,0.0003347419,0.005276414,0.001042474,0.02130465,0.0006918022,0.01022084,0.316296],"study_design_scores_gemma":[0.0006190101,0.009107927,0.9527429,0.0002581228,0.0001936147,0.0002618128,0.002704046,0.003018512,0.009638351,0.0003736216,0.0209836,0.0000985107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9094061,0.0004267573,0.03745716,0.001594355,0.0005852365,0.03370605,0.005480608,0.0005968112,0.010747],"genre_scores_gemma":[0.7225627,0.001019536,0.2118236,0.001767647,0.0002310659,0.03365298,0.0118677,0.0002219888,0.01685278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008462531,"threshold_uncertainty_score":0.04475468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044418185510999,"score_gpt":0.4809313968226288,"score_spread":0.376489578271529,"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."}}