{"id":"W7115353146","doi":"","title":"French Speech Data by Mobile Phone_Reading - 231 Hours","year":2022,"lang":"fr","type":"other","venue":"The COCOON platform (University of Paris)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Sentence; Point (geometry); QUIET; Identifier; Background noise; Volume (thermodynamics)","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":[0.0003991208,0.001514695,0.0006815649,0.001858102,0.0005528561,0.001077216,0.0004051873,0.0005214235,0.1646484],"category_scores_gemma":[0.00172453,0.0001694833,0.0003693601,0.001593566,0.0001522252,0.000672325,0.0005874464,0.0003208854,0.173485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005485297,"about_ca_system_score_gemma":0.0006043608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150106,"about_ca_topic_score_gemma":0.01778048,"domain_scores_codex":[0.9991725,0.000120958,0.00007287034,0.0001881721,0.0003549042,0.00009052623],"domain_scores_gemma":[0.9984694,0.0002038004,0.00008257243,0.000220632,0.0009247228,0.00009876049],"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":[0.0007192189,0.00008102479,0.005235676,0.0006416949,0.00007042786,0.000277839,0.0002351974,0.0009196125,0.01274718,0.000721723,0.7447886,0.2335618],"study_design_scores_gemma":[0.00009035478,0.0002705575,0.05482651,0.0001322852,0.00006838418,0.0006846685,0.0004130121,0.00314969,0.02228362,0.0003381031,0.9176438,0.00009905359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03079841,0.001052648,0.006905614,0.0005387486,0.000606246,0.0003634284,0.8246634,0.03272173,0.1023498],"genre_scores_gemma":[0.06361768,0.0005439834,0.005421198,0.0002142122,0.0003270523,0.0003653054,0.8459595,0.002067148,0.08148389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1646484,"threshold_uncertainty_score":0.5508039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763516135466872,"score_gpt":0.2321861983014629,"score_spread":0.2045510369467941,"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."}}