{"id":"W6901641901","doi":"10.6068/dp14ba7cf9b6e32","title":"Trend 2001 - 2003. Statistics Canada. CANSIM: Families, Households and Housing - Household Characteristics | Country: Canada | Table: Household Internet use survey, electronic commerce households shopping on the Internet from any location by type of product and service | Variable: Electronic commerce, Automotive products | Units: %, 2001-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-099.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Census; Socioeconomic status; Official statistics; Population; Summary statistics; Economic statistics; Household income; Product (mathematics)","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":[0.00210025,0.002560057,0.002745983,0.007928289,0.003825298,0.004494386,0.006181683,0.001364971,0.07790165],"category_scores_gemma":[0.01480737,0.001788729,0.002228274,0.03485731,0.000575107,0.00238674,0.002591027,0.003012618,0.0414076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05686198,"about_ca_system_score_gemma":0.1183081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959596,"about_ca_topic_score_gemma":0.9948967,"domain_scores_codex":[0.9963322,0.0002438072,0.0003689911,0.0004554811,0.001679435,0.000920037],"domain_scores_gemma":[0.9701845,0.0008461126,0.0008305207,0.0008072908,0.0257786,0.001553035],"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":[0.0000279344,0.000008382262,0.001557304,0.000260858,0.00002332144,0.000009307794,0.00003846446,0.0001122312,0.000008931027,0.0003915554,0.9955404,0.002021305],"study_design_scores_gemma":[0.0001769957,0.00001843821,0.04789529,0.001046727,0.0000879174,0.00004059639,0.0009842762,0.0006327283,0.0001993848,0.0007234937,0.9480852,0.0001089368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009143628,0.00005079014,0.0000302923,0.0001169511,0.00002618245,0.00001972662,0.9987739,0.00005280286,0.0008379978],"genre_scores_gemma":[0.001090464,0.0002811782,0.0004270324,0.0001405007,0.00001692921,0.0001696633,0.9931082,0.00008764548,0.004678495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07790165,"threshold_uncertainty_score":0.4125645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05577879318064276,"score_gpt":0.2464871509169642,"score_spread":0.1907083577363215,"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."}}