{"id":"W6901562611","doi":"10.6068/dp14ba879a38f56","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics by business sector industry and by non-commercial activity consistent with the industry accounts | Variable: Total number of jobs, Motor vehicle brake system manufacturing | Units: # Hours Worked (000s), 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Official statistics; Census; Wages and salaries; Business statistics; Summary statistics; Social statistics; Socioeconomic status","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":[0.001886357,0.002585882,0.002693636,0.008541076,0.003270238,0.004916451,0.005234224,0.001487857,0.0827305],"category_scores_gemma":[0.0154257,0.001726505,0.00194495,0.03987481,0.0006108252,0.002496611,0.002250238,0.003120643,0.05394686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.050922,"about_ca_system_score_gemma":0.1225767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951391,"about_ca_topic_score_gemma":0.9935644,"domain_scores_codex":[0.9960237,0.0002474733,0.0003661238,0.0005035104,0.001834596,0.001024574],"domain_scores_gemma":[0.9711166,0.0009790033,0.0009165319,0.0007821661,0.0248113,0.00139441],"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":[0.00002176544,0.000007137448,0.0009930751,0.0001914074,0.00001777579,0.000006576178,0.00002040667,0.0001062161,0.000008001647,0.0003506312,0.9967301,0.001546886],"study_design_scores_gemma":[0.0001475587,0.00001202968,0.02509874,0.0007863851,0.00005979505,0.00002631327,0.0005179608,0.0005400979,0.0002034448,0.0006730906,0.9718404,0.00009405844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006003616,0.00004986066,0.00002409394,0.0001185131,0.00002443535,0.00001197951,0.9988509,0.00005961203,0.0008005947],"genre_scores_gemma":[0.0008443451,0.0002705226,0.000357965,0.0001345232,0.00001704643,0.00009567295,0.9940544,0.0001040686,0.00412144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0827305,"threshold_uncertainty_score":0.3694667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158291492062427,"score_gpt":0.2298129460506679,"score_spread":0.2139837968444252,"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."}}