{"id":"W6969340959","doi":"10.5683/sp3/yctuv0","title":"Synthetic: The Workplace and Employee Survey, 2003 [Canada]","year":2003,"lang":"en","type":"dataset","venue":"Borealis","topic":"Economic Sanctions and International Relations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data file; Earnings; Test (biology); Data collection; File format; Range (aeronautics); Human resource management; 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":[0.001873298,0.0005717725,0.0005646658,0.002514559,0.002054353,0.002058137,0.001830815,0.000605466,0.03135077],"category_scores_gemma":[0.01119532,0.0007658266,0.0004500368,0.01336182,0.0004025035,0.00113566,0.0008403735,0.001590569,0.0130655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03191684,"about_ca_system_score_gemma":0.0689661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845935,"about_ca_topic_score_gemma":0.9874119,"domain_scores_codex":[0.9978372,0.0001521819,0.0002160691,0.0002149984,0.001270399,0.0003091829],"domain_scores_gemma":[0.9849556,0.0006422682,0.0006194332,0.0003990401,0.01228065,0.001102935],"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":[0.00006230704,0.00003837055,0.01755243,0.0001803031,0.00001289706,0.00001681218,0.0001718875,0.0002029285,0.00005671303,0.0005126526,0.9720374,0.009155381],"study_design_scores_gemma":[0.0001328488,0.00004040037,0.5480578,0.0002573377,0.00002361699,0.00003650399,0.001574708,0.000861534,0.000228355,0.0003815018,0.4483414,0.00006404511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003051195,0.00009844161,0.0002330676,0.0008259911,0.00007517709,0.0002446265,0.9866419,0.0001924016,0.008637215],"genre_scores_gemma":[0.0316318,0.000816816,0.00327091,0.00165846,0.00006067051,0.001497975,0.9144383,0.0003108148,0.0463142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03191684,"threshold_uncertainty_score":0.231574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214111259547777,"score_gpt":0.2237685017657286,"score_spread":0.1916273891702508,"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."}}