{"id":"W7115215606","doi":"","title":"Canadian Speaking English Speech Data by Mobile Phone - 207 Hours","year":2022,"lang":"en","type":"other","venue":"The COCOON platform (University of Paris)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Mobile phone; Control (management); Transcription (linguistics); Domain (mathematical analysis); Mobile device","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":[0.0004245571,0.001475137,0.0007003446,0.00414522,0.003418454,0.001342519,0.001125573,0.0004895161,0.1049696],"category_scores_gemma":[0.002378923,0.0002912773,0.0004310567,0.007815911,0.0003903281,0.0004998096,0.0009180331,0.0004840324,0.05332889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007225923,"about_ca_system_score_gemma":0.01720521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9672582,"about_ca_topic_score_gemma":0.9792008,"domain_scores_codex":[0.9987071,0.00004990361,0.00007319416,0.0002310017,0.0006588059,0.0002799265],"domain_scores_gemma":[0.9957748,0.0001343435,0.0001029936,0.000168371,0.003539085,0.0002803227],"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":[0.000567545,0.000096615,0.01979732,0.0009502493,0.00007316401,0.0005066647,0.001790317,0.0003617866,0.004150825,0.001173828,0.8729356,0.09759621],"study_design_scores_gemma":[0.00005005831,0.00006386529,0.2437503,0.0001920535,0.00009174263,0.0005172567,0.002528701,0.000408625,0.002742679,0.000152432,0.7493761,0.0001260919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02394024,0.0004039824,0.000487759,0.0002217715,0.0001468214,0.0002413272,0.9278228,0.000530751,0.04620455],"genre_scores_gemma":[0.05550053,0.0008605595,0.00162458,0.0002217582,0.00008690223,0.0004825322,0.8568822,0.0002502556,0.08409077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1049696,"threshold_uncertainty_score":0.3511584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143088133653538,"score_gpt":0.2185225062757032,"score_spread":0.1970916249391678,"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."}}