{"id":"W6976414786","doi":"10.6068/dp15d1d47b8f584","title":"Trend 1997 - 2016. Statistics Canada. CANSIM: Labor - Commuting to Work | Country: Canada | 240_1_3: 282-0224 | 240_1_1: Labour Force Survey estimates (LFS), employees by union status, establishment size, job tenure, type of work and job permanency | 240_0_1: All employees-20 to 99 employees-Over 5 to 10 years-Union coverage rate (by a collective agreement) (percent)-%-Full-time employees | 240_0_2: %, 1997-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-135.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Residence; Census; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; General Social Survey","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":[0.002023219,0.002509424,0.002866416,0.008110273,0.003746584,0.00487125,0.005733089,0.001605964,0.1084972],"category_scores_gemma":[0.0167534,0.001822344,0.002129886,0.03813064,0.0006103439,0.002513115,0.002639926,0.003292141,0.06912769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04562999,"about_ca_system_score_gemma":0.1191673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954935,"about_ca_topic_score_gemma":0.9942222,"domain_scores_codex":[0.9959762,0.0002394523,0.0004171786,0.0005495729,0.001717109,0.001100588],"domain_scores_gemma":[0.9722483,0.00098489,0.000864749,0.0008711324,0.02339934,0.001631586],"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":[0.00002192419,0.000006635357,0.001041659,0.0002040555,0.00001671734,0.000006069397,0.00002754582,0.00007252235,0.000008362239,0.0002609144,0.9968727,0.001460905],"study_design_scores_gemma":[0.0001744137,0.00001623669,0.03102615,0.0009544879,0.00006890229,0.00002772828,0.0007399207,0.0003897911,0.0001698024,0.0005606077,0.9657785,0.00009338869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006721375,0.00004368613,0.00002285252,0.0001169117,0.00003351954,0.0000138719,0.9988325,0.00005684574,0.0008125652],"genre_scores_gemma":[0.0007758441,0.0002337034,0.0002467042,0.0001577345,0.00002009646,0.0001214269,0.9937068,0.000103865,0.004633863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1084972,"threshold_uncertainty_score":0.3629594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081479415218964,"score_gpt":0.2700191553421685,"score_spread":0.2492043611899788,"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."}}