{"id":"W6958014295","doi":"10.6068/dp14ba80de34554","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, Flowers and gifts | 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; Official statistics; Socioeconomic status; Population; Household income; Summary statistics; Economic statistics; 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":[0.002162535,0.002480845,0.002675726,0.0078695,0.00377534,0.004430001,0.006164062,0.001350814,0.07888222],"category_scores_gemma":[0.01566305,0.001761417,0.002170826,0.03551812,0.0005807033,0.002369447,0.002543594,0.003016417,0.04120268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05494669,"about_ca_system_score_gemma":0.1190809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955702,"about_ca_topic_score_gemma":0.9945251,"domain_scores_codex":[0.9963725,0.0002409218,0.0003642837,0.0004499737,0.001683038,0.0008893308],"domain_scores_gemma":[0.9689583,0.0009217241,0.0008590095,0.0008537637,0.02685668,0.001550507],"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":[0.00002677147,0.00000797445,0.001451938,0.0002560171,0.00002189138,0.000008401703,0.00003551151,0.0001114091,0.000008341847,0.0003727176,0.9957742,0.001924951],"study_design_scores_gemma":[0.0001750509,0.00001733018,0.04548308,0.001017604,0.00008351381,0.00003608997,0.0009125845,0.0005981863,0.0001915963,0.000735191,0.9506449,0.0001049868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008111182,0.00004441493,0.00002819448,0.0001082371,0.00002440941,0.00001926511,0.9989018,0.00004907104,0.0007433788],"genre_scores_gemma":[0.0009991308,0.0002512898,0.0004103057,0.0001301808,0.00001572795,0.0001709052,0.9937755,0.00007933448,0.004167672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07888222,"threshold_uncertainty_score":0.398668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05140405248557534,"score_gpt":0.2439402499301532,"score_spread":0.1925361974445779,"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."}}