{"id":"W7097128495","doi":"","title":"Canadian Labour Market and Skills Researcher Network Working Paper Number: 25, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006969608,0.0006437516,0.001089444,0.004606346,0.004639767,0.005332653,0.001888259,0.001778559,0.147829],"category_scores_gemma":[0.0318736,0.0005137461,0.0004761068,0.009792772,0.001070392,0.002136078,0.001470468,0.001715527,0.02518932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05651009,"about_ca_system_score_gemma":0.1877941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9550265,"about_ca_topic_score_gemma":0.9607968,"domain_scores_codex":[0.9956415,0.0004273643,0.0002398453,0.0004095547,0.002559973,0.0007217432],"domain_scores_gemma":[0.9745515,0.002707405,0.0004912124,0.000900295,0.01938916,0.001960473],"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":[0.00003994923,0.00001947332,0.001511003,0.0001333333,0.00000801069,0.00001502979,0.0002558288,0.0001443598,0.00003034381,0.008177296,0.9748453,0.0148202],"study_design_scores_gemma":[0.00007479999,0.00002059283,0.02228829,0.0007101138,0.00004386797,0.00001823985,0.001534938,0.0005277269,0.0002467184,0.003095472,0.971402,0.00003724714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00913289,0.006878694,0.001635567,0.07756077,0.005005277,0.001557187,0.3030603,0.0004830227,0.5946863],"genre_scores_gemma":[0.1003286,0.01110213,0.00568912,0.005627724,0.000680942,0.001842826,0.1389717,0.0005961459,0.7351608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9550265,"threshold_uncertainty_score":0.4945372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418566801192541,"score_gpt":0.3022258695174548,"score_spread":0.2880402015055294,"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."}}