{"id":"W6941602217","doi":"10.1371/journal.pcbi.1011463.t003","title":"Knots scoring.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Outbreak; Robustness (evolution); Public health; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Estimation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004240131,0.003322464,0.003181047,0.009214519,0.002153538,0.007341158,0.004238438,0.003421909,0.4102121],"category_scores_gemma":[0.02980416,0.001924495,0.003562875,0.006719937,0.00103128,0.005368195,0.004257353,0.003663869,0.2468864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065901,"about_ca_system_score_gemma":0.002142492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006600828,"about_ca_topic_score_gemma":0.008543188,"domain_scores_codex":[0.9962025,0.0007633426,0.0003473409,0.001297092,0.0008438037,0.0005458642],"domain_scores_gemma":[0.993211,0.00318052,0.0004836049,0.001261463,0.001452815,0.000410584],"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":[0.0009392413,0.0002968096,0.009772029,0.002175439,0.000287379,0.000415173,0.0004340786,0.01758181,0.001200017,0.01809993,0.6489406,0.2998576],"study_design_scores_gemma":[0.0003119804,0.0002237366,0.007893763,0.001007252,0.0001797673,0.0007925913,0.000657616,0.1484263,0.003435653,0.09158327,0.7452019,0.000286084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.0199338,0.003240005,0.3863943,0.002603278,0.004696009,0.001514185,0.2261598,0.2331729,0.1222858],"genre_scores_gemma":[0.1533955,0.002729679,0.3447984,0.001863254,0.0009119213,0.002853261,0.3144334,0.04776818,0.1312464],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4102121,"threshold_uncertainty_score":0.8412609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608357843126312,"score_gpt":0.2459800282790131,"score_spread":0.19989644984775,"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."}}