{"id":"W7101072327","doi":"","title":"Canadian Labour Market and Skills Researcher Network Working Paper Number: 28, DRAFT","year":2007,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resources; Government (linguistics); Human capital; Work (physics); Human resource management","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":[0.006935935,0.0006314971,0.001107259,0.004488133,0.004615299,0.005243227,0.001857609,0.001766771,0.1447762],"category_scores_gemma":[0.03183248,0.0005093602,0.0004698546,0.009609969,0.00106868,0.002106906,0.001466136,0.00175608,0.02507413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05668768,"about_ca_system_score_gemma":0.1926865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9559684,"about_ca_topic_score_gemma":0.9627453,"domain_scores_codex":[0.9956912,0.0004156054,0.0002336686,0.0003994406,0.0025403,0.0007197213],"domain_scores_gemma":[0.9739657,0.002712843,0.0004948904,0.0008924583,0.01992229,0.002011854],"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":[0.00004148223,0.00001997706,0.001574372,0.0001321335,0.00000806656,0.00001469696,0.00026354,0.0001447838,0.00003039261,0.008086537,0.9752646,0.01441933],"study_design_scores_gemma":[0.00008109202,0.00002178538,0.02392984,0.000704324,0.00004423211,0.00001873248,0.001625121,0.0005573732,0.0002473906,0.003164852,0.9695668,0.00003852031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009478248,0.006577918,0.001565864,0.07943346,0.004767612,0.001546129,0.3120786,0.0004739123,0.5840783],"genre_scores_gemma":[0.1032183,0.0107888,0.005749162,0.005750985,0.0006703176,0.001864306,0.1446575,0.0006086887,0.726692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1447762,"threshold_uncertainty_score":0.4843246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410268820186592,"score_gpt":0.3015908859835948,"score_spread":0.2874881977817288,"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."}}