{"id":"W4390890204","doi":"10.2196/49218","title":"Using a Virtual Reality Tool to Provide Primary Prevention Training in the Construction Field Following a Periodic Medical Visit: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Feeling; Virtual reality; Service (business); Occupational safety and health; Training (meteorology); Psychology; Medical education; Family medicine; Nursing; Medicine; Applied psychology; Social psychology; Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00465971,0.0001586145,0.0002640819,0.0002458152,0.000918018,0.0001183856,0.0002372427,0.0002545418,0.0002633083],"category_scores_gemma":[0.0008867425,0.0001218051,0.000112054,0.0006247739,0.00005790865,0.0002956214,0.0001278007,0.001222378,0.00005869023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626974,"about_ca_system_score_gemma":0.003716954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007239104,"about_ca_topic_score_gemma":0.001033155,"domain_scores_codex":[0.9956815,0.001185077,0.0008656151,0.0004705709,0.001217973,0.0005792734],"domain_scores_gemma":[0.9979911,0.001424795,0.00007639526,0.0002461407,0.00008794647,0.0001735701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001179904,0.0002710897,0.611088,0.0007692917,0.0000676389,0.0001932749,0.04347909,0.00007635526,0.0001854762,0.001588972,0.000589036,0.3405119],"study_design_scores_gemma":[0.000833027,0.0007428346,0.980936,0.0005096405,0.000009781365,0.00003415201,0.009387597,0.001528491,9.313209e-7,0.000523885,0.005343378,0.0001503131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887451,0.00009160786,0.000931165,0.003310157,0.001488098,0.003942487,0.00001719436,0.0001110094,0.001363193],"genre_scores_gemma":[0.9960537,0.000008735331,0.0002860024,0.001179389,0.0007263881,0.001417486,0.0000276044,0.0000203343,0.0002803651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.369848,"threshold_uncertainty_score":0.7060745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120202855426617,"score_gpt":0.526821656227508,"score_spread":0.406618800800891,"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."}}