{"id":"W6926677516","doi":"10.25318/2210004801-eng","title":"Methods enterprises use to access the Internet (low speed or high speed), by industry","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Internet access; E-commerce; Key (lock); Electronic business; Industry 4.0","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001614469,0.0004132316,0.0003330464,0.00004923494,0.00008228736,0.0003591033,0.0009309261,0.0003945514,0.0003647407],"category_scores_gemma":[0.001586856,0.0003253302,0.00004081524,0.0001853811,0.0000671636,0.00001227591,0.0003869023,0.0004271967,0.00000908546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109187,"about_ca_system_score_gemma":0.0006135685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07687551,"about_ca_topic_score_gemma":0.2159985,"domain_scores_codex":[0.9980826,0.000213851,0.0004143677,0.000583673,0.0003786297,0.0003268533],"domain_scores_gemma":[0.9984453,0.0001970546,0.0003026504,0.0005962023,0.0002049093,0.0002538261],"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":[0.0001515542,0.00003930654,0.00003636562,0.00008913317,0.0001312238,0.00005213281,0.00001874874,0.000004266159,0.004382737,0.000004812624,0.9914314,0.003658351],"study_design_scores_gemma":[0.000151348,0.0001704159,0.001501996,0.00007741427,0.0001345597,0.000009902807,0.00006028763,0.00001432341,0.01786279,0.000009698883,0.9795678,0.0004394998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003667335,0.00004962944,0.003746999,0.0002353567,0.001163836,0.0004112397,0.9907002,0.000008965578,0.00001642406],"genre_scores_gemma":[0.003689648,0.0001198512,0.001036599,0.001564901,0.0003204459,0.00002397745,0.9900529,0.00005198474,0.003139683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.139123,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681019584833808,"score_gpt":0.3270528877182664,"score_spread":0.3102426918699283,"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."}}