{"id":"W4381137181","doi":"10.14434/do.v16i2.35786","title":"Educating, training, recruiting and retaining the best: Is NIDCAP ready for Generation Z?","year":2023,"lang":"en","type":"article","venue":"Developmental Observer","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stollery Children's Hospital; University of Alberta","funders":"","keywords":"Training (meteorology); Medical education; Psychology; Medicine; Operations management; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007104883,0.0002127088,0.0001814065,0.0005253024,0.003206978,0.007504619,0.001367918,0.002265341,0.03394916],"category_scores_gemma":[0.01157914,0.0002246553,0.0002066298,0.0006055505,0.002003713,0.006366749,0.006669762,0.004623807,0.005939304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005250457,"about_ca_system_score_gemma":0.03691141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04178668,"about_ca_topic_score_gemma":0.1156084,"domain_scores_codex":[0.9983702,0.0003208056,0.00004782773,0.0001229973,0.0004682844,0.0006698116],"domain_scores_gemma":[0.9883764,0.001344245,0.0004146457,0.0005250577,0.003312377,0.006027234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001108804,0.0001837691,0.01486578,0.0001547513,0.000005265608,0.0002296185,0.003392719,0.00008694748,0.0004769732,0.07991738,0.5857332,0.3148428],"study_design_scores_gemma":[0.0000190007,0.00009167066,0.01097913,0.0003354712,0.000007557574,0.0002055025,0.01178293,0.0001688576,0.0009434885,0.01445363,0.96098,0.00003272199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04388997,0.002933739,0.004953417,0.5230655,0.007172163,0.0001422512,0.001536292,0.001022285,0.4152844],"genre_scores_gemma":[0.3898189,0.006780253,0.02075047,0.10549,0.001092266,0.0005434949,0.001661252,0.0006007908,0.4732627],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04178668,"threshold_uncertainty_score":0.1135713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2556395031433484,"score_gpt":0.3030087102200314,"score_spread":0.04736920707668296,"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."}}