{"id":"W66494385","doi":"10.7202/029284ar","title":"A Macro/Micro Decision Model for the Training and Development Specialist","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Dalhousie University","funders":"","keywords":"Macro; Training (meteorology); Micro level; Decision model; Computer science; Decision-making models; Management science; Operations research; Engineering; Artificial intelligence; Machine learning; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003294133,0.0008450022,0.0008151155,0.001084651,0.001104525,0.004168981,0.001567077,0.001698379,0.01452898],"category_scores_gemma":[0.004970368,0.0004916005,0.0007753737,0.001145745,0.00101212,0.00299415,0.001451244,0.001865751,0.002080231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002344649,"about_ca_system_score_gemma":0.005165334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855842,"about_ca_topic_score_gemma":0.0112266,"domain_scores_codex":[0.9984676,0.0007574499,0.00007186796,0.0002052729,0.0003601888,0.000137542],"domain_scores_gemma":[0.99726,0.001827523,0.0001601915,0.0001124009,0.0003576447,0.0002823278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002281126,0.0002744855,0.004963865,0.0001975077,0.00008964561,0.000320723,0.0004475327,0.690006,0.001164444,0.2415852,0.006594847,0.05412756],"study_design_scores_gemma":[0.000035748,0.0000936566,0.0004720791,0.00004076765,0.00002359579,0.0000722718,0.0002151415,0.9190297,0.0003416068,0.07357012,0.006068051,0.00003721936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03140076,0.0001987462,0.9227418,0.004273236,0.0001828402,0.0005108023,0.0007385358,0.0004917922,0.03946152],"genre_scores_gemma":[0.4959895,0.0005294864,0.4815564,0.0006969548,0.0002065395,0.000980724,0.0004817577,0.0001272973,0.01943142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01452898,"threshold_uncertainty_score":0.04860431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3117038265708619,"score_gpt":0.3960645217220925,"score_spread":0.08436069515123062,"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."}}