{"id":"W4398555397","doi":"10.7910/dvn/0v85e9/xdxgwz","title":"parentallv_5Feb2019DTAversion.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001148439,0.003015203,0.00166542,0.003907913,0.001326329,0.003312884,0.003812872,0.00316135,0.179105],"category_scores_gemma":[0.006197361,0.0008354752,0.001699052,0.004685372,0.0006180027,0.001725425,0.002489232,0.002046417,0.2055064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956712,"about_ca_system_score_gemma":0.002550802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272975,"about_ca_topic_score_gemma":0.04517899,"domain_scores_codex":[0.9989248,0.0001641582,0.0001182266,0.0003086647,0.0002336748,0.00025048],"domain_scores_gemma":[0.9978594,0.0005314876,0.000140736,0.0006146568,0.0005827396,0.0002709334],"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":[0.00004248825,0.00001908431,0.0003189921,0.0002980237,0.00001309667,0.000009343645,0.000008069271,0.00009755792,0.00007250401,0.0002216916,0.9972708,0.001628459],"study_design_scores_gemma":[0.0003921269,0.0000498495,0.002235176,0.0003187805,0.00003590456,0.0000994822,0.00007773186,0.0007561286,0.0007041856,0.001262688,0.9940361,0.00003172224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002002101,0.0001129327,0.00008357921,0.0001128787,0.00005877544,0.00001673243,0.9971312,0.0009320491,0.001351587],"genre_scores_gemma":[0.0005357941,0.00006511628,0.0002626652,0.00009014551,0.00001407492,0.0000590868,0.9975632,0.0001385888,0.001271294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820895,"threshold_uncertainty_score":0.5991658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321157473617027,"score_gpt":0.2801501069933093,"score_spread":0.2569385322571391,"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."}}