{"id":"W6920487402","doi":"10.6068/dp14ba7d3a32a34","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Employment by enterprise size of employment (SEPH) for all employees, for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Accommodation and food services, 0 to 4 employees | Units: # Persons, 2001-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Economic statistics; Official statistics; Summary statistics; Socioeconomic status; Social statistics; Private sector; Descriptive statistics","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":[0.001950559,0.002367961,0.002764912,0.00816623,0.003610396,0.005050235,0.005452046,0.001497116,0.0814846],"category_scores_gemma":[0.01673909,0.001719867,0.002157513,0.03693138,0.0006000841,0.002399587,0.002391113,0.003033973,0.0505123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04800914,"about_ca_system_score_gemma":0.1189303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947634,"about_ca_topic_score_gemma":0.9936581,"domain_scores_codex":[0.9962022,0.0002442417,0.0004031032,0.000521571,0.001646513,0.0009824082],"domain_scores_gemma":[0.9679667,0.001193444,0.00105052,0.0009185501,0.02720713,0.001663608],"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":[0.00002627802,0.000006745512,0.001138181,0.0002353976,0.00002131276,0.00000707702,0.0000249671,0.0001017694,0.000008664697,0.0003060893,0.9967174,0.001406238],"study_design_scores_gemma":[0.000195252,0.00001470831,0.03198049,0.0009910162,0.00008108078,0.00003243375,0.0006257316,0.0005592509,0.0002199271,0.0006656157,0.9645236,0.0001110108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005409575,0.00003956126,0.00001818046,0.00009722537,0.00001956664,0.00001146178,0.9991086,0.00005177941,0.0005995622],"genre_scores_gemma":[0.0007373041,0.0002123384,0.0002924206,0.0001217327,0.00001529713,0.0001073166,0.9952369,0.00009305574,0.003183559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0814846,"threshold_uncertainty_score":0.3483323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502126565830045,"score_gpt":0.2753682181771738,"score_spread":0.2303469525188734,"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."}}