{"id":"W6950478582","doi":"10.5281/zenodo.6469176","title":"NeuroHub - Advanced Data and Computational Infrastructure for Collaborative, Reproducible Research","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Key (lock); Field (mathematics); Work (physics); Data collection","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009798,0.001969114,0.002860101,0.002559322,0.001584389,0.006320666,0.005566278,0.00156437,0.06610083],"category_scores_gemma":[0.02263609,0.00140239,0.00142756,0.003683015,0.001336487,0.005899992,0.008130287,0.003785083,0.05804796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142326,"about_ca_system_score_gemma":0.006714798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007716803,"about_ca_topic_score_gemma":0.008552656,"domain_scores_codex":[0.9954839,0.00125233,0.0003980163,0.001014766,0.001465064,0.000385872],"domain_scores_gemma":[0.985477,0.002923244,0.0004497081,0.006305554,0.002770696,0.002073806],"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":[0.002670185,0.0001983568,0.001731311,0.000988145,0.0005146238,0.0002135344,0.000312026,0.007751969,0.01029476,0.02910172,0.8401586,0.1060648],"study_design_scores_gemma":[0.001423112,0.0001940411,0.003204966,0.0003866785,0.0001926706,0.0002209411,0.0001969231,0.1141342,0.02441587,0.127677,0.7276756,0.000277949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003016012,0.001050045,0.5244593,0.002449457,0.00201624,0.0008600027,0.1355019,0.3101062,0.02054077],"genre_scores_gemma":[0.04386061,0.001251563,0.5883044,0.001265338,0.0005977802,0.004576961,0.2969776,0.04882555,0.0143402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9944337,"threshold_uncertainty_score":0.2211293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881921200520133,"score_gpt":0.2708839263409131,"score_spread":0.2220647143357118,"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."}}