{"id":"W6907578975","doi":"10.25318/3610064701-eng","title":"Wireless telecommunications carriers industry economic impact, inactive","year":2021,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless; Value (mathematics); Telecommunications equipment; Telecommunications service; Economic impact analysis","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002613279,0.0006409315,0.0006684549,0.0003402839,0.0004119044,0.0002147184,0.0009008527,0.0007597776,0.001480118],"category_scores_gemma":[0.0008887619,0.0007810979,0.00007130221,0.0004786391,0.0001742387,0.0001859756,0.0002255913,0.002055448,0.0001156714],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01724646,"about_ca_system_score_gemma":0.01512436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7772506,"about_ca_topic_score_gemma":0.983155,"domain_scores_codex":[0.9969946,0.0003290539,0.0007314765,0.0006489399,0.0006829072,0.000613008],"domain_scores_gemma":[0.9953774,0.0009782703,0.0009749808,0.001645803,0.0005796772,0.0004438622],"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":[0.0000141903,0.00004224111,0.00004151908,0.0000810401,0.0002916855,0.0000922101,0.00004184571,0.0002221221,0.00003770301,0.0001544386,0.9981164,0.0008646242],"study_design_scores_gemma":[0.0003147494,0.00005068224,0.009692336,0.0003035428,0.0005782779,0.00005020402,0.001799243,0.0004698714,0.0003064401,0.0001026554,0.9849441,0.00138791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001124156,0.0001343772,0.00006923655,0.00005839158,0.0007045016,0.0004145038,0.9973511,0.00003406786,0.0001097402],"genre_scores_gemma":[0.004988301,0.0001329556,0.0003756869,0.00004441209,0.0001430291,0.0001552491,0.9937203,0.0001404877,0.0002995623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2059044,"threshold_uncertainty_score":0.999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008853285808171765,"score_gpt":0.3021836836033749,"score_spread":0.2933303977952032,"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."}}