{"id":"W6912333012","doi":"10.5281/zenodo.3604164","title":"petersenpeter/KilosortWrapper: KiloSortWrapper","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Watson; Table (database); Natural (archaeology)","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":[0.001401228,0.003258394,0.001530705,0.00231953,0.001101898,0.00636172,0.002303181,0.00227982,0.555838],"category_scores_gemma":[0.003764004,0.001567647,0.0008098061,0.002823974,0.0007201841,0.004912389,0.004028315,0.002723955,0.6817175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008534738,"about_ca_system_score_gemma":0.001076767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005310054,"about_ca_topic_score_gemma":0.004120247,"domain_scores_codex":[0.9986473,0.0001678459,0.00009687993,0.000254192,0.0006565262,0.0001772931],"domain_scores_gemma":[0.9987804,0.000214044,0.00008913189,0.0004146111,0.0003079348,0.0001937922],"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":[0.0003989947,0.00004568935,0.0002819365,0.0004231718,0.00002271363,0.0001474735,0.000171989,0.0007357223,0.001668849,0.01919773,0.841917,0.1349886],"study_design_scores_gemma":[0.00003653173,0.00001063745,0.0002241174,0.00005572315,0.000004730996,0.0001024636,0.00002067285,0.0004225473,0.001613528,0.003214486,0.9942628,0.00003185798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.00228855,0.002245947,0.04762081,0.001165288,0.001010721,0.0001761515,0.09043998,0.1691056,0.6859469],"genre_scores_gemma":[0.01473189,0.001878235,0.01974292,0.000502358,0.0003056211,0.0002708269,0.1020462,0.2397087,0.6208132],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.555838,"threshold_uncertainty_score":0.6335432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795409035377197,"score_gpt":0.2430225944301781,"score_spread":0.2050685040764061,"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."}}