{"id":"W6912871763","doi":"10.5281/zenodo.7275406","title":"twkim-0510/SARS-CoV-2_viral_competition: version1","year":2022,"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":"Kootenay Association for Science & Technology","funders":"","keywords":"Object (grammar); Infectivity; Scripting language; Term (time)","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":[0.002366587,0.002903718,0.001800946,0.001837887,0.001503264,0.002293195,0.003514861,0.001873854,0.3615594],"category_scores_gemma":[0.004313603,0.001813219,0.001567368,0.001804882,0.0005175943,0.001537002,0.001335526,0.00252313,0.2430977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567163,"about_ca_system_score_gemma":0.001699286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007454403,"about_ca_topic_score_gemma":0.007163335,"domain_scores_codex":[0.9981639,0.0003633818,0.0001976937,0.0004067954,0.000519395,0.0003489287],"domain_scores_gemma":[0.9974235,0.001143067,0.0001441683,0.0005771281,0.0004675451,0.0002447145],"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":[0.001323384,0.0003097192,0.0005810116,0.0007257951,0.00006929499,0.00009070609,0.00009012707,0.00176606,0.009924791,0.002969788,0.9667473,0.01540194],"study_design_scores_gemma":[0.0009707593,0.0003791642,0.003972133,0.0001826516,0.00008667495,0.0002933616,0.0001096291,0.01281869,0.08054122,0.00607887,0.8942377,0.0003291531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004078675,0.0001435178,0.02218208,0.0003073192,0.0004451527,0.0007897767,0.879367,0.06541479,0.02727162],"genre_scores_gemma":[0.01645021,0.0002403916,0.03561918,0.0004804237,0.00009535009,0.005114276,0.8331819,0.07091496,0.03790328],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3615594,"threshold_uncertainty_score":0.910658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400114575086259,"score_gpt":0.2621344505328227,"score_spread":0.2181333047819601,"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."}}