{"id":"W6957711752","doi":"10.6068/dp14ba902a54c70","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of the plant's total revenue that came from the sale of products to clients by geographical markets | Variable: Sale of products to clients in all other countries, Semiconductor and other electronic component manufacturing, 0% of the plant's total revenue, Non-innovative plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","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; Official statistics; Census; Revenue; Summary statistics; Business statistics; Descriptive statistics; Information technology; Publication; Telephone number","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":[0.002270312,0.002394563,0.002748486,0.009990746,0.003932704,0.00531048,0.005087282,0.001605596,0.08576629],"category_scores_gemma":[0.02166558,0.001568607,0.002073749,0.0507651,0.0006945679,0.002466278,0.002299296,0.003152954,0.05203102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05701179,"about_ca_system_score_gemma":0.1515041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947504,"about_ca_topic_score_gemma":0.9932603,"domain_scores_codex":[0.9944832,0.0003050655,0.0006211193,0.0006167114,0.002729469,0.001244532],"domain_scores_gemma":[0.9536304,0.001679326,0.001262896,0.001083925,0.04057345,0.001770005],"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":[0.00001757411,0.000007150636,0.0009489122,0.0002267617,0.00001639356,0.000006010596,0.0000186723,0.00009368223,0.000006681373,0.0003057582,0.9971482,0.001204211],"study_design_scores_gemma":[0.0001387125,0.00001192547,0.02698466,0.0008253736,0.00007570501,0.00002336191,0.0005950088,0.0003533555,0.0001595839,0.0005088596,0.9702416,0.00008177681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005144671,0.00005290036,0.00001442679,0.0001117769,0.00002295297,0.00001081145,0.9989723,0.00003596131,0.0007274622],"genre_scores_gemma":[0.0007829432,0.0002788332,0.0002750108,0.0001633428,0.00001754253,0.00009651531,0.9944401,0.00006316012,0.003882594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08576629,"threshold_uncertainty_score":0.4136514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947921944620208,"score_gpt":0.2438848803015492,"score_spread":0.2144056608553471,"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."}}