{"id":"W6939244833","doi":"10.6068/dp14ba80054e086","title":"Trend 1966 - 1997. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Product | Country: Canada | Table: Direct selling, by method of sale and commodity | Variable: Newspapers, Sales by mail | Units: $CAD x 1,000, 1966-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-176.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Product (mathematics); Economic statistics; Census; Retail sales; Official statistics; Summary statistics; Distribution (mathematics); Product type","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":[0.001706574,0.002506845,0.002439495,0.008847238,0.00269959,0.004406614,0.004903965,0.001254635,0.08219792],"category_scores_gemma":[0.01385759,0.001542125,0.001796924,0.04218802,0.0006150751,0.002440123,0.001822562,0.002740886,0.06406726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04129346,"about_ca_system_score_gemma":0.09815376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934715,"about_ca_topic_score_gemma":0.9909077,"domain_scores_codex":[0.9962447,0.0001941857,0.0003788214,0.0005183655,0.001831343,0.0008325031],"domain_scores_gemma":[0.9741745,0.0007975044,0.0009010959,0.0007681607,0.02221239,0.001146285],"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":[0.00002673996,0.00000632884,0.00117727,0.0002391147,0.00002000777,0.000008007777,0.00001956671,0.0001252154,0.0000104523,0.000353617,0.9963053,0.001708257],"study_design_scores_gemma":[0.0001349658,0.00001282018,0.02709412,0.0006917283,0.00005635562,0.00002716275,0.0004031481,0.0004674209,0.0001791005,0.0005161184,0.9703434,0.00007378772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005382797,0.00004634856,0.00002012924,0.00007769567,0.00002073601,0.00001062502,0.9989499,0.00005115276,0.0007696506],"genre_scores_gemma":[0.0007907477,0.0002595091,0.0002917385,0.00009216629,0.00001494215,0.00007435591,0.9945957,0.0000882941,0.003792492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08219792,"threshold_uncertainty_score":0.2996064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069149932294326,"score_gpt":0.2406920138175656,"score_spread":0.2100005144946223,"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."}}