{"id":"W7103375686","doi":"","title":"Redefining CRM","year":2005,"lang":"","type":"article","venue":"Journal of Bioresource Management","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew resource management; Crew; Resource (disambiguation); Maritime industry; Line management; Quarter (Canadian coin); Competitive advantage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001680281,0.0003480614,0.0005436018,0.001019454,0.0002639361,0.0002150537,0.0006215505,0.0001890454,0.027676],"category_scores_gemma":[0.00003489996,0.0003298512,0.0005646379,0.0003751674,0.0001126801,0.0001921338,0.0001726843,0.0007521653,0.003470334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648929,"about_ca_system_score_gemma":0.00003098528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005539154,"about_ca_topic_score_gemma":0.000004371881,"domain_scores_codex":[0.9958546,0.0003683084,0.002121577,0.0003372691,0.0007997121,0.0005185138],"domain_scores_gemma":[0.9968548,0.0001197864,0.001983905,0.0005274834,0.0002060938,0.0003079615],"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":[0.0007698573,0.001177244,0.000569944,0.0001198736,0.001831102,0.0004335467,0.01049275,0.002664757,0.00005896103,0.03007451,0.3082777,0.6435298],"study_design_scores_gemma":[0.002634292,0.0005173226,0.01454229,0.0003334631,0.0003200326,0.000311519,0.0054769,0.001346547,0.00004002722,0.00009649445,0.974079,0.0003021691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05399706,0.0023672,0.008048906,0.01767482,0.006704027,0.000411117,0.000009607927,0.00007384647,0.9107134],"genre_scores_gemma":[0.9518209,0.0006049211,0.004432741,0.003486541,0.003666065,0.000005674963,0.000002403873,0.00005491258,0.0359259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8978238,"threshold_uncertainty_score":0.9999154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227198283335466,"score_gpt":0.3353087898990775,"score_spread":0.3130368070657228,"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."}}