{"id":"W6894099335","doi":"10.5281/zenodo.6091632","title":"neurostuff/NiMARE: 0.0.12rc1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Estimator; Multiprocessing; Scale (ratio); Memory management","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":[0.002456508,0.003032318,0.001626332,0.001796247,0.00139728,0.004776961,0.007608025,0.002675258,0.4653684],"category_scores_gemma":[0.01002277,0.00231993,0.00190928,0.00156192,0.0008568301,0.005216824,0.003956788,0.003670805,0.5634957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372462,"about_ca_system_score_gemma":0.001905098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008102482,"about_ca_topic_score_gemma":0.008281997,"domain_scores_codex":[0.9970342,0.000268747,0.0001304478,0.0005040289,0.001600002,0.0004625017],"domain_scores_gemma":[0.9952053,0.0005555233,0.0001814268,0.001709252,0.001884935,0.000463603],"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":[0.0002692409,0.00002773165,0.0002535685,0.0001670775,0.00003016317,0.00004495054,0.00004118644,0.0003127091,0.001805117,0.001310636,0.9766405,0.01909723],"study_design_scores_gemma":[0.0002395048,0.00007714394,0.0009666181,0.00008927169,0.00003905626,0.0001531323,0.00003535588,0.003110336,0.01790999,0.003371539,0.9738973,0.0001106406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001147222,0.0002872213,0.02390161,0.0008561861,0.0007181427,0.0001520055,0.02715653,0.8584293,0.08735174],"genre_scores_gemma":[0.01508885,0.0002617444,0.02504899,0.001871134,0.0003177356,0.0003719613,0.07907948,0.7745405,0.1034196],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4653684,"threshold_uncertainty_score":0.7625871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174731586190847,"score_gpt":0.2420267530234821,"score_spread":0.2102794371615736,"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."}}