{"id":"W4308582538","doi":"10.2196/33638","title":"The Receptivity to Safety-Related Mobile Apps Among Commercial Fishing Captains: Descriptive Exploratory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health","keywords":"Android (operating system); Psychological intervention; Mobile device; Mobile technology; Internet privacy; Fishing; Mobile apps; Mobile phone; Safety culture; Business; Computer security; Engineering; Medicine; Computer science; World Wide Web; Nursing; Telecommunications; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003867047,0.0003861098,0.0005514133,0.001322169,0.001847802,0.001806022,0.000723101,0.0008498706,0.003005766],"category_scores_gemma":[0.009904603,0.0006511494,0.0005406276,0.0006177818,0.001134256,0.001616821,0.001396902,0.000967596,0.0006155695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007841673,"about_ca_system_score_gemma":0.001346776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004751538,"about_ca_topic_score_gemma":0.005660834,"domain_scores_codex":[0.9984957,0.0004965948,0.0001381388,0.0002008149,0.0003527326,0.0003160184],"domain_scores_gemma":[0.9943498,0.002691744,0.001155245,0.0002174916,0.001085467,0.0005003808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004519632,0.002169355,0.7452435,0.0007764725,0.0000760113,0.00187753,0.228507,0.00004213826,0.00316465,0.0002606727,0.0006598345,0.0167709],"study_design_scores_gemma":[0.00002815058,0.003200489,0.6031378,0.0005335392,0.00008337083,0.001366959,0.3863483,0.0003367001,0.0007555254,0.0001321947,0.004006248,0.00007075388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990422,0.00008209365,0.00008458665,0.00004264311,0.000003498054,0.0001312156,0.00006601627,0.000001667151,0.0005460671],"genre_scores_gemma":[0.9981839,0.0002120006,0.0003048092,0.0001750212,0.000009983012,0.000386947,0.00007700635,0.000004716451,0.0006455551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004751538,"threshold_uncertainty_score":0.02045113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124701943896576,"score_gpt":0.3332239198049105,"score_spread":0.2919769003659448,"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."}}