{"id":"W2067438571","doi":"10.1136/injuryprev-2012-040721","title":"What features of images affect parents’ appraisal of safety messages? Examining images from the <i>A Million Messages</i> programme in Canada","year":2013,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Affect (linguistics); Injury prevention; Psychology; Poison control; Human factors and ergonomics; Safety behaviors; Suicide prevention; Occupational safety and health; Applied psychology; Social psychology; Medical emergency; Medicine; Communication","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001050246,0.0002554072,0.0001859825,0.0006495797,0.001949215,0.001347328,0.0005629615,0.0004196235,0.002092623],"category_scores_gemma":[0.006353728,0.0002631698,0.0002934626,0.0005796178,0.000854265,0.0003520726,0.0006004514,0.0006568716,0.00009741703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224275,"about_ca_system_score_gemma":0.008235428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8704615,"about_ca_topic_score_gemma":0.9269484,"domain_scores_codex":[0.9994407,0.0001256062,0.00001765092,0.00003772646,0.0002499265,0.0001283149],"domain_scores_gemma":[0.9972069,0.0007594431,0.0006806421,0.00007414951,0.0009435904,0.0003352224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010744,0.0006042074,0.6744084,0.0004042257,0.00006953373,0.001461138,0.2620458,0.0003370689,0.004436628,0.0003873794,0.003887681,0.05088349],"study_design_scores_gemma":[0.00001591727,0.000199262,0.8946512,0.0001211608,0.00003823674,0.000226925,0.09973099,0.0002462977,0.0008561005,0.00004396872,0.003843141,0.00002680472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997738,0.00009762169,0.00003849257,0.0001472685,0.000004273519,0.00002986091,0.00007474735,0.000002016083,0.001867749],"genre_scores_gemma":[0.9984521,0.0001814561,0.00017737,0.00005692822,0.000002829048,0.00002058952,0.0000777917,0.000003524374,0.001027374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1295385,"threshold_uncertainty_score":0.2606027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097087065226453,"score_gpt":0.31206987224851,"score_spread":0.2910990015962454,"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."}}