{"id":"W4393687373","doi":"10.5281/zenodo.6376543","title":"MaMI dataset","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Computer science","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":[0.001178256,0.0032166,0.001874652,0.003107524,0.001327891,0.002098061,0.004632046,0.003099408,0.02705311],"category_scores_gemma":[0.004410756,0.0005637307,0.002124063,0.004388664,0.000540861,0.001462469,0.002203002,0.00244367,0.05409377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787999,"about_ca_system_score_gemma":0.00228881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088006,"about_ca_topic_score_gemma":0.04783343,"domain_scores_codex":[0.9988008,0.0002287409,0.0001347209,0.0003985599,0.000282523,0.0001547817],"domain_scores_gemma":[0.9989833,0.0002468205,0.00007934785,0.0002841672,0.0002797632,0.0001266283],"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":[0.000177966,0.0001062489,0.001083236,0.0009487417,0.00009964632,0.00009703568,0.00003152619,0.001105243,0.0004443763,0.0007470379,0.9874236,0.007735223],"study_design_scores_gemma":[0.0004038331,0.00009634185,0.005414102,0.0003445285,0.0001121145,0.0004425445,0.0001596646,0.004851442,0.001326401,0.002883669,0.983884,0.00008133318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001257642,0.0007751618,0.0004903649,0.0003386176,0.0001205424,0.00007492998,0.993757,0.00134771,0.001837988],"genre_scores_gemma":[0.0008761052,0.0001683974,0.0009561038,0.0001046586,0.00001460741,0.0001359395,0.9969875,0.00005046495,0.0007061256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02705311,"threshold_uncertainty_score":0.09050167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203151940486132,"score_gpt":0.438719707218919,"score_spread":0.2355677667327869,"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."}}