{"id":"W6926761180","doi":"10.25318/1810006601-eng","title":"Telecommunications services price indexes, quarterly, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Telecommunications service; Index (typography); Table (database); Price index; Base (topology)","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":[0.0007753493,0.001475189,0.001153311,0.006840619,0.0006463456,0.002750443,0.001763452,0.001007708,0.05491308],"category_scores_gemma":[0.009762874,0.0006200026,0.0007589358,0.01948684,0.0002952497,0.001122291,0.001072543,0.00174359,0.04962841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003126982,"about_ca_system_score_gemma":0.005139628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1917613,"about_ca_topic_score_gemma":0.2188539,"domain_scores_codex":[0.9983286,0.0001275968,0.0002566999,0.0004022364,0.0005779257,0.000306953],"domain_scores_gemma":[0.9940842,0.0009969384,0.00125328,0.0006529115,0.002524079,0.0004885075],"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":[0.00004141984,0.00001400887,0.00326326,0.0002506993,0.00002875804,0.00001328207,0.00001058343,0.0002008395,0.00002832797,0.0004538466,0.9939792,0.001715848],"study_design_scores_gemma":[0.0002923493,0.00001851998,0.03129273,0.0003304029,0.00004680569,0.00006467474,0.000111527,0.0005921778,0.0002418597,0.0008035308,0.9661744,0.00003095337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001880828,0.0000379071,0.00001850672,0.0000276747,0.00001034808,0.000004449005,0.9990471,0.00004670549,0.0006193115],"genre_scores_gemma":[0.000770108,0.00006776764,0.00007900478,0.00002417683,0.00001098956,0.00002915562,0.998002,0.00002174823,0.0009949674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8082387,"threshold_uncertainty_score":0.3812903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005986103073416986,"score_gpt":0.2816619818785305,"score_spread":0.2756758788051136,"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."}}