{"id":"W6968876380","doi":"10.5281/zenodo.7789907","title":"neurostuff/NiMARE: 0.0.14","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Context (archaeology); HT1080; Python (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":[0.005693064,0.00274382,0.002227913,0.003088007,0.0009168875,0.004002958,0.003705087,0.001195294,0.1288855],"category_scores_gemma":[0.01315004,0.002956574,0.004896557,0.002318767,0.0009815837,0.002374597,0.004154807,0.003060656,0.06825325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331004,"about_ca_system_score_gemma":0.004227348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008447615,"about_ca_topic_score_gemma":0.01378468,"domain_scores_codex":[0.9986014,0.0003560664,0.0001745404,0.0004107953,0.0003086113,0.0001486802],"domain_scores_gemma":[0.9962975,0.00232522,0.0002386834,0.0006070959,0.0003216814,0.0002097715],"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":[0.0008883572,0.00009616692,0.004584069,0.007636419,0.003300824,0.0004278619,0.0006084305,0.006960141,0.003041404,0.02298019,0.8658844,0.08359189],"study_design_scores_gemma":[0.001038933,0.0001104574,0.004911858,0.00115556,0.00124479,0.0006130936,0.0001734182,0.03507665,0.009921456,0.09132156,0.8540641,0.0003681957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001359997,0.0008637072,0.1656585,0.0005678259,0.0003415192,0.0003461043,0.152652,0.6716934,0.00651703],"genre_scores_gemma":[0.03268903,0.001989166,0.407979,0.002128073,0.0002679853,0.003890993,0.2170667,0.3150842,0.01890486],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1288855,"threshold_uncertainty_score":0.4311649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185957353051511,"score_gpt":0.2711174916127582,"score_spread":0.2392579180822431,"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."}}