{"id":"W6912765373","doi":"10.5281/zenodo.7547583","title":"pyRiemann/pyRiemann: v0.3","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Python (programming language); Signal processing; Statistical analysis; Differential geometry; Multivariate statistics","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":[0.001181677,0.002679335,0.00179908,0.001593467,0.0005912146,0.002308402,0.003229418,0.00114985,0.1560436],"category_scores_gemma":[0.004189403,0.001558472,0.001695374,0.00141787,0.0006753615,0.002426018,0.003018259,0.002745608,0.1704207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008463452,"about_ca_system_score_gemma":0.001471418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003938846,"about_ca_topic_score_gemma":0.005889525,"domain_scores_codex":[0.9990308,0.0001139976,0.00007433899,0.0002273366,0.0004093317,0.0001442569],"domain_scores_gemma":[0.9990146,0.0002611012,0.00007304973,0.000315962,0.0002352501,0.000100147],"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":[0.0002160824,0.00008274895,0.0006303489,0.0008019076,0.0001440546,0.0001244457,0.0000908012,0.00786034,0.00325307,0.01250826,0.8983549,0.07593305],"study_design_scores_gemma":[0.0002850477,0.00006438386,0.001686293,0.0002045576,0.0000847182,0.0003302963,0.00003570035,0.1275653,0.02243015,0.05261638,0.794486,0.0002111372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001114643,0.0002275459,0.2213042,0.0002229284,0.0001839724,0.0001468901,0.04872632,0.7136184,0.01445498],"genre_scores_gemma":[0.02830545,0.0005816037,0.2335736,0.0009486273,0.0001957975,0.00113839,0.1718018,0.5153171,0.04813769],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1560436,"threshold_uncertainty_score":0.5220178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165986170719684,"score_gpt":0.2462632566906644,"score_spread":0.2146033949834675,"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."}}