{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001428502,0.002455479,0.002381306,0.009088562,0.002547001,0.004231157,0.004838138,0.001182131,0.07332392],"category_scores_gemma":[0.0129248,0.001428874,0.001661463,0.04154232,0.0006221484,0.00230268,0.001819358,0.002594721,0.05804092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03837892,"about_ca_system_score_gemma":0.08815721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928122,"about_ca_topic_score_gemma":0.9901171,"domain_scores_codex":[0.9963793,0.0001769384,0.0003458498,0.0005301956,0.001710916,0.0008568197],"domain_scores_gemma":[0.9759614,0.0007695067,0.0009636765,0.0007538592,0.02047723,0.00107437],"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":[0.00002585072,0.000006379869,0.001253239,0.000214251,0.00002013327,0.000008700385,0.00001909127,0.0001481549,0.00001081582,0.0004251107,0.9962916,0.001576726],"study_design_scores_gemma":[0.0001237927,0.00001236751,0.02695827,0.0006373662,0.00005269795,0.00002824338,0.0004070532,0.0005457141,0.0002000411,0.0005467826,0.9704117,0.00007593137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005751514,0.00004092207,0.00001908786,0.00006580787,0.00001639671,0.000008136863,0.9990647,0.00004558626,0.0006819275],"genre_scores_gemma":[0.0008189334,0.0002136152,0.0002425409,0.00007103534,0.00001159569,0.00005435836,0.9952914,0.00006899626,0.003227626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07332392,"threshold_uncertainty_score":0.2784599,"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."}}