{"id":"W7115943760","doi":"10.5683/sp3/thttu7","title":"Labour Force Survey, June 2025 [Canada]","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Government (linguistics); Wage; Current Population Survey; Public use; Duration (music); Survey data collection","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":[0.002140939,0.001179898,0.001496997,0.003092585,0.002635853,0.002385106,0.003001942,0.001227952,0.05390515],"category_scores_gemma":[0.007302989,0.0009452565,0.001143226,0.009611272,0.0004099372,0.001276447,0.001057838,0.002647854,0.03088004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02646145,"about_ca_system_score_gemma":0.06528703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9704907,"about_ca_topic_score_gemma":0.9787384,"domain_scores_codex":[0.9976985,0.000164386,0.0002148277,0.0002568693,0.001223951,0.0004415478],"domain_scores_gemma":[0.9898057,0.0002536341,0.0002626955,0.0001856519,0.008954381,0.0005380533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003230691,0.00001769101,0.003500754,0.0002786519,0.00001598195,0.00001413209,0.00004366329,0.00008064678,0.00002298898,0.0004584293,0.9889272,0.006607563],"study_design_scores_gemma":[0.0001345723,0.00004068485,0.1506201,0.0009202373,0.00006349253,0.00003816965,0.0005608317,0.000331145,0.00007945222,0.0004490847,0.8467122,0.00005003783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004904405,0.0006518433,0.0001455534,0.0009612218,0.0003403863,0.0003361265,0.9791317,0.00008597126,0.01785681],"genre_scores_gemma":[0.006486528,0.003043629,0.001561288,0.001896923,0.0001462093,0.00173946,0.9176795,0.0001045467,0.06734189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05390515,"threshold_uncertainty_score":0.1919922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711106233307006,"score_gpt":0.2736576208683983,"score_spread":0.2565465585353283,"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."}}