{"id":"W2135094284","doi":"","title":"Labour Market Seasonality in Canada: Trends and Policy Implications","year":2005,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Unemployment; Economics; Seasonal adjustment; Demographic economics; Labour economics; Economic growth; Variable (mathematics); Ecology","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":[0.0009614134,0.0003153855,0.0004356052,0.003560428,0.003099872,0.003030175,0.001261247,0.0007676577,0.004567412],"category_scores_gemma":[0.003077047,0.0002078938,0.0006615568,0.01166203,0.0009210646,0.001029197,0.001040497,0.001410935,0.0003012958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06808247,"about_ca_system_score_gemma":0.1001092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964163,"about_ca_topic_score_gemma":0.9976179,"domain_scores_codex":[0.9988569,0.00003877709,0.00004950082,0.00008686183,0.0003144609,0.000653419],"domain_scores_gemma":[0.9956162,0.0001912687,0.0006396841,0.0000492455,0.002304994,0.001198529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004010487,0.0001471313,0.8200353,0.001140395,0.0001970719,0.0005893626,0.00539177,0.002653641,0.0008076008,0.01041248,0.05052736,0.1076969],"study_design_scores_gemma":[0.00001193581,0.00003448849,0.9469746,0.0005592153,0.000044342,0.0001019582,0.00866391,0.001437976,0.0001493191,0.0005369515,0.04144355,0.00004172304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7825561,0.05228012,0.0006128926,0.08930245,0.0006343196,0.0001307664,0.03515279,0.0001862526,0.03914435],"genre_scores_gemma":[0.9630474,0.02250887,0.0005712228,0.002675985,0.0001428073,0.00002583586,0.005057068,0.00002632629,0.005944458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06808247,"threshold_uncertainty_score":0.4939752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1410138389243997,"score_gpt":0.51678937735802,"score_spread":0.3757755384336203,"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."}}