{"id":"W4236408845","doi":"10.13106/ijidb.2018.vol9.no5.83.","title":"Introduction and Activation Strategies for Smart Training of Corporate","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial Distribution & Business","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"Ministry of Employment and Labor","keywords":"Training (meteorology); Questionnaire; Plan (archaeology); Computer science; Medical education; Business; Applied psychology; Psychology; Medicine","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":[0.0006451326,0.00007249702,0.0001781005,0.00008197674,0.0001055418,0.000115555,0.0001437595,0.00007947189,0.00000674378],"category_scores_gemma":[0.0003848837,0.00006060187,0.00003529337,0.000450387,0.00009290493,0.0009073771,0.00001839789,0.00008122308,4.504377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000423147,"about_ca_system_score_gemma":0.0005358297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005158857,"about_ca_topic_score_gemma":0.000003152777,"domain_scores_codex":[0.9991594,0.00004583481,0.0004291603,0.00009030613,0.0001744537,0.0001008586],"domain_scores_gemma":[0.997199,0.00007749005,0.0009921847,0.00008742281,0.001601701,0.00004222278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004893718,0.0002494994,0.003024406,0.00008653842,0.0001553334,9.512216e-7,0.004783549,0.0004721254,0.04443184,0.7691494,0.108157,0.06900003],"study_design_scores_gemma":[0.01134929,0.004019137,0.3663571,0.001623304,0.0002429018,0.0007660561,0.01374629,0.003835651,0.09119753,0.1205526,0.3849814,0.001328745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5723539,0.00001783224,0.4203349,0.005418634,0.001707473,0.0001039255,0.00002379026,0.000006954571,0.00003256973],"genre_scores_gemma":[0.9948498,0.000004644013,0.0008106345,0.00001856299,0.004264457,0.000002704117,0.00002447959,0.000002879023,0.00002185144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6485967,"threshold_uncertainty_score":0.2471272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091134319050002,"score_gpt":0.2938122530130193,"score_spread":0.1846988211080191,"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."}}