{"id":"W6931807860","doi":"10.5281/zenodo.7111633","title":"NMikolajewicz/scMiko: v1.0.1 scMiko","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vignette; Cluster analysis; Frame (networking); Pipeline (software); Selection (genetic algorithm); Pattern recognition (psychology); Discriminative model; Annotation","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":[0.001444033,0.002519596,0.001672418,0.002747372,0.0009073798,0.002862187,0.004079085,0.001342552,0.184004],"category_scores_gemma":[0.00495727,0.002078902,0.001863928,0.002116983,0.0005977078,0.002797834,0.004486887,0.003188314,0.2365164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028981,"about_ca_system_score_gemma":0.00173542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979747,"about_ca_topic_score_gemma":0.003097688,"domain_scores_codex":[0.9992556,0.00007212476,0.00007765002,0.0001784491,0.0002981351,0.0001180078],"domain_scores_gemma":[0.9988149,0.0002330176,0.00009131769,0.0004346586,0.0002996917,0.0001263628],"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":[0.0008690992,0.0001855974,0.001849928,0.001565246,0.0002160627,0.0004342677,0.0001790062,0.004814399,0.01521951,0.01173399,0.8714918,0.09144103],"study_design_scores_gemma":[0.0003033177,0.00005737996,0.003211993,0.0003055757,0.00006972695,0.0007427668,0.00005154834,0.03120914,0.02482593,0.01508739,0.9239578,0.0001774529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003514983,0.0004805042,0.1700813,0.0003663657,0.0004042117,0.0003565421,0.07166441,0.7185106,0.03462119],"genre_scores_gemma":[0.02730376,0.0009071732,0.2452744,0.000736439,0.0001895298,0.002249408,0.269058,0.4018862,0.05239511],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.184004,"threshold_uncertainty_score":0.6155547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194206326564667,"score_gpt":0.2262026940846805,"score_spread":0.2142606308190338,"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."}}