{"id":"W6976914679","doi":"10.6068/dp14ba8a4d2cb1","title":"Trend 1999 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Closing inventory, Non-chain stores, Sporting goods, hobby, music and book stores | Units: , 1999-2009. 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":"Census; Retail trade; Economic statistics; Retail sales; Index (typography); Summary statistics; Financial services; Goods and services; Closing (real estate)","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":[0.001352935,0.002701694,0.002556236,0.008275867,0.00222223,0.004272961,0.005010997,0.001269431,0.05600479],"category_scores_gemma":[0.01142706,0.001459135,0.00184468,0.04074271,0.0005861469,0.002368401,0.001850901,0.00279715,0.06103726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02784358,"about_ca_system_score_gemma":0.06812867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875445,"about_ca_topic_score_gemma":0.9850088,"domain_scores_codex":[0.9966816,0.0001637198,0.0003351005,0.0005239983,0.001542561,0.0007530198],"domain_scores_gemma":[0.9780796,0.0006781109,0.0008732212,0.0006857941,0.01875875,0.0009246962],"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":[0.00002738696,0.000007034585,0.001282566,0.0001856614,0.00002041143,0.000007469049,0.00001231614,0.0001169904,0.00001078025,0.0002029627,0.99701,0.001116337],"study_design_scores_gemma":[0.0002146152,0.0000174691,0.03656919,0.0007509759,0.0000661447,0.00003282893,0.0004476456,0.000730281,0.0002507504,0.000500956,0.9603316,0.00008755281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005758517,0.00002935668,0.00001175536,0.00005145854,0.00001578255,0.000006759064,0.9993621,0.00003788486,0.0004273932],"genre_scores_gemma":[0.0004322379,0.0001098604,0.0001182179,0.00005060126,0.000009444904,0.00003614744,0.9975339,0.00003805691,0.001671536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05600479,"threshold_uncertainty_score":0.2020202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382209337558114,"score_gpt":0.2411560928132247,"score_spread":0.2029351590574133,"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."}}