{"id":"W6958078726","doi":"10.6068/dp14ba82cca562","title":"Trend 1966 - 1997. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Direct selling, by method of sale and commodity | Variable: Electrical appliances, Sales by other methods | Units: $CAD x 1,000, 1966-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Commodity; Census; Retail trade; Retail sales; Summary statistics; Official statistics; Goods and services","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003572461,0.001705993,0.003514937,0.0002051757,0.0002436324,0.0002483107,0.0031801,0.001183385,0.001650144],"category_scores_gemma":[0.0005143455,0.00166958,7.519716e-7,0.001248679,0.00119455,0.0003622619,0.0008439748,0.001797522,0.00002386195],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027392,"about_ca_system_score_gemma":0.01181861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990655,"about_ca_topic_score_gemma":0.9951786,"domain_scores_codex":[0.9882899,0.003378882,0.002059356,0.002551501,0.002196339,0.001524043],"domain_scores_gemma":[0.987718,0.004066741,0.002540842,0.004232906,0.0002589026,0.001182591],"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":[0.0004780777,0.0002227585,0.00008051988,0.001561128,0.001197365,0.0001014722,0.00000666395,0.000009572258,0.0002665336,0.0002593779,0.9951369,0.0006795982],"study_design_scores_gemma":[0.001512604,0.000239194,8.43301e-7,0.0001286874,0.001671173,0.0001465215,0.0001296681,0.005606658,0.000003896277,6.927559e-7,0.9888722,0.001687884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.404588e-7,0.04495175,0.0004261671,0.00000287272,0.0003588137,0.00101895,0.9510615,0.0001396515,0.002039855],"genre_scores_gemma":[0.00000280532,0.00442961,0.01046575,0.0001630022,0.0001434781,0.00003015993,0.9777817,0.0008691777,0.006114385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04052214,"threshold_uncertainty_score":0.9995686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04456367249392022,"score_gpt":0.2999835359678349,"score_spread":0.2554198634739147,"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."}}