{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006648362,0.0001821008,0.0001461699,0.0001546809,0.0007386911,0.000444165,0.0001961344,0.00004639275,0.0001679864],"category_scores_gemma":[0.0001007754,0.0001481978,0.00005221986,0.0003591196,0.00004337906,0.0004642982,0.0002377733,0.0000885355,0.0004102848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003740645,"about_ca_system_score_gemma":0.0000267356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008314294,"about_ca_topic_score_gemma":0.00007308595,"domain_scores_codex":[0.998764,0.000009001425,0.0002949613,0.000342978,0.0002213889,0.0003676073],"domain_scores_gemma":[0.999568,0.0000526374,0.0001610853,0.0001381859,0.00006463463,0.00001543649],"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":[0.0000393273,0.0001200781,0.1237227,0.0007178521,0.0003333178,0.00002583954,0.02047331,0.00007709514,0.001888691,0.03552297,0.363274,0.4538048],"study_design_scores_gemma":[0.000633613,0.00001521005,0.0309413,0.0001110303,0.00006886527,0.000003532004,0.0193835,0.006724844,0.0001485889,0.0009098006,0.9406294,0.0004302601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734127,0.00005410591,0.00003294801,0.001915514,0.0002881982,0.000560085,0.000003357043,0.000142066,0.02359101],"genre_scores_gemma":[0.9803652,0.00002141877,0.001235659,0.006333774,0.001487294,0.0002708297,0.0003271651,0.00005391353,0.009904705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5773555,"threshold_uncertainty_score":0.6043332,"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."}}