{"id":"W4249417783","doi":"10.1109/dsn-w.2019.00007","title":"Message from the DSML 2019 Organizers","year":2019,"lang":"en","type":"article","venue":"","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Google (Canada)","funders":"","keywords":"Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008760443,0.001166421,0.0008680806,0.001358045,0.003807615,0.005934745,0.001776797,0.01051141,0.1095703],"category_scores_gemma":[0.0230559,0.0007552462,0.00128004,0.0006287249,0.001018669,0.002103438,0.004385404,0.01306378,0.09228492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247479,"about_ca_system_score_gemma":0.00736226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007767968,"about_ca_topic_score_gemma":0.01468096,"domain_scores_codex":[0.9959142,0.001267963,0.0002356821,0.0002679614,0.001725163,0.0005890691],"domain_scores_gemma":[0.9847094,0.001712482,0.0006822388,0.000420164,0.00638815,0.006087514],"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":[0.00002284344,0.000004118539,0.00002545538,0.00002205786,8.067536e-7,0.00001326219,0.00001158919,0.000002831816,0.00001907653,0.00008565118,0.9982136,0.001578771],"study_design_scores_gemma":[0.00004961253,0.00004210251,0.000622456,0.0002205379,0.000006745415,0.00009852008,0.00040489,0.00003387491,0.0001213055,0.0004049977,0.99797,0.00002500112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0003920606,0.002247992,0.0006547564,0.6680268,0.3013189,0.0002403323,0.0014499,0.0004202509,0.02524895],"genre_scores_gemma":[0.005888981,0.002045271,0.001418911,0.6712182,0.09451962,0.0009528003,0.002805457,0.0005017343,0.220649],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1095703,"threshold_uncertainty_score":0.3665491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881550978828108,"score_gpt":0.3359575401328306,"score_spread":0.3171420303445495,"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."}}