{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02540918,0.001475441,0.0006851776,0.003569361,0.008459758,0.02948879,0.003957753,0.01485526,0.01656192],"category_scores_gemma":[0.02668504,0.0006437745,0.001059457,0.003735377,0.03060484,0.03040025,0.01510931,0.0210106,0.008972246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01500196,"about_ca_system_score_gemma":0.02488893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02672548,"about_ca_topic_score_gemma":0.02421475,"domain_scores_codex":[0.9647552,0.01396971,0.002080008,0.004230357,0.01115948,0.003805316],"domain_scores_gemma":[0.9659839,0.0129096,0.001678894,0.00377602,0.01132806,0.004323518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001839101,0.00003145085,0.0002376149,0.0002611079,0.000006191569,0.0001383591,0.005035645,0.0001643017,0.0003563663,0.6153822,0.3099774,0.06839107],"study_design_scores_gemma":[0.000004586754,0.00001631822,0.0001864953,0.0003149052,0.000003310575,0.0001426672,0.001069201,0.000140459,0.0001735705,0.0231335,0.9747965,0.00001845038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00369647,0.02276379,0.0269479,0.615941,0.03046098,0.000118641,0.0001573817,0.001035705,0.2988781],"genre_scores_gemma":[0.1231563,0.04483988,0.0467866,0.4324977,0.03020324,0.0003554842,0.0005123319,0.001855872,0.3197926],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02948879,"threshold_uncertainty_score":0.1343782,"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."}}