{"id":"W1575478764","doi":"10.7202/027990ar","title":"Manpower Projections : Atlantic Canada, Some Policy Considerations","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Relevance (law); Government (linguistics); Training (meteorology); State (computer science); Manpower planning; Operations research; Regional science; Business; Political science; Computer science; Engineering; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003216715,0.0004141957,0.0003189617,0.001730899,0.004016044,0.005087989,0.001619612,0.001082127,0.003950794],"category_scores_gemma":[0.009604729,0.0002100232,0.0003800332,0.004538658,0.001587715,0.001961832,0.001029099,0.001987704,0.0001885055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06948037,"about_ca_system_score_gemma":0.1316385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909011,"about_ca_topic_score_gemma":0.9944203,"domain_scores_codex":[0.9977599,0.000409099,0.00008328266,0.0001532653,0.000954429,0.00063998],"domain_scores_gemma":[0.9962058,0.0007919862,0.0001775691,0.0000731831,0.002321221,0.0004302437],"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":[0.0002525573,0.0001054729,0.09504653,0.001114869,0.0001090732,0.001173363,0.008067559,0.08698561,0.0009581844,0.5138344,0.1330471,0.1593053],"study_design_scores_gemma":[0.00008524593,0.0001493162,0.1905715,0.002967881,0.000117909,0.0002632868,0.05692327,0.0876717,0.001458542,0.1486337,0.5108042,0.0003534245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2268443,0.02698244,0.008321078,0.4804651,0.001068845,0.0002199219,0.008996017,0.0003829469,0.2467194],"genre_scores_gemma":[0.9498749,0.01566469,0.007689734,0.00597134,0.0002560996,0.00008718493,0.001608728,0.00003994058,0.01880746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06948037,"threshold_uncertainty_score":0.5041177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163074958572912,"score_gpt":0.2997661386562205,"score_spread":0.2681353890704913,"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."}}