{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000484439,0.0005502293,0.0005868368,0.0003738415,0.0002107545,0.000357604,0.005357604,0.0004919787,0.0130042],"category_scores_gemma":[0.0002845596,0.0005448656,0.000202038,0.0003963398,0.00006550045,0.0007951664,0.003377239,0.001296088,0.5676162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295173,"about_ca_system_score_gemma":0.0004322743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096164,"about_ca_topic_score_gemma":0.00007308557,"domain_scores_codex":[0.9961845,0.0003156746,0.0005120766,0.001320174,0.0009480861,0.000719487],"domain_scores_gemma":[0.993296,0.0002350873,0.0004383441,0.005587916,0.0001229241,0.0003197439],"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":[0.000009226997,0.00005410795,0.00004950935,0.000320494,0.00003542915,0.0001424706,0.00002791705,0.00005385665,0.000001368498,0.0001826468,0.9984415,0.0006815015],"study_design_scores_gemma":[0.0003799521,0.00009733331,0.00009300874,0.0001508895,0.00003165541,0.00005480206,0.0000148999,0.001812983,0.000002818731,0.00003472982,0.9967473,0.0005796502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003975096,0.000003613446,0.001991082,0.00005266715,0.004416862,0.0004841494,0.9925141,0.0002171967,0.000316316],"genre_scores_gemma":[0.00001351702,0.0002874468,0.003401726,0.001514122,0.0004538965,0.00002130615,0.9932428,0.00002997898,0.00103523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.554612,"threshold_uncertainty_score":0.9997003,"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."}}