{"id":"W6949447996","doi":"10.5281/zenodo.15604649","title":"github.com/dockstore/dockstore-tool-bamstats/nfl","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Process (computing); Set (abstract data type); Identification (biology)","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":["insufficient_payload"],"category_scores_codex":[0.001670577,0.00588737,0.002403369,0.003713514,0.001249876,0.005789392,0.00602868,0.002819733,0.5226239],"category_scores_gemma":[0.007918012,0.003922343,0.002760962,0.003840268,0.0009907358,0.005045848,0.006627383,0.003542073,0.6383456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703591,"about_ca_system_score_gemma":0.001239009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007981691,"about_ca_topic_score_gemma":0.006606049,"domain_scores_codex":[0.998988,0.00008411334,0.00009883007,0.0002861033,0.0003424675,0.0002003995],"domain_scores_gemma":[0.9971243,0.0009140771,0.0001515392,0.0009680568,0.0005365256,0.0003054886],"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":[0.0002582535,0.00004899264,0.0004090259,0.0006056994,0.00005192995,0.00008057578,0.00008091275,0.0006315955,0.0007703718,0.001737114,0.9749709,0.0203547],"study_design_scores_gemma":[0.0005681384,0.00003121913,0.001233212,0.000305934,0.00004905248,0.0001728643,0.00008386421,0.007015048,0.007670008,0.01369388,0.9690142,0.0001625573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.0004148235,0.000134338,0.02121037,0.0002295035,0.0001736406,0.0001024757,0.1641993,0.7963125,0.01722304],"genre_scores_gemma":[0.006527266,0.0002505012,0.02279888,0.0006044497,0.00008216052,0.0004698117,0.3699313,0.5750282,0.02430743],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4773761,"threshold_uncertainty_score":0.6809191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807272235462731,"score_gpt":0.2246211003984558,"score_spread":0.2065483780438284,"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."}}