{"id":"W6930612045","doi":"10.5281/zenodo.13841044","title":"SLIME","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Natural (archaeology); Process (computing); Product (mathematics); Relation (database)","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":[0.0008682532,0.001766187,0.001311276,0.002182319,0.0009393879,0.004251834,0.001448119,0.0008967479,0.5157698],"category_scores_gemma":[0.004146637,0.0006903852,0.001367905,0.001953541,0.0005910376,0.003088887,0.002522277,0.001564824,0.5056565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007144228,"about_ca_system_score_gemma":0.001077976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494597,"about_ca_topic_score_gemma":0.002556005,"domain_scores_codex":[0.9990194,0.0001412526,0.00007839178,0.0002860695,0.0003612407,0.0001137573],"domain_scores_gemma":[0.9987546,0.0003468552,0.0000606193,0.0004518309,0.0002711511,0.0001149658],"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":[0.00009606587,0.0000247751,0.0001856161,0.0002535819,0.00001774652,0.000041576,0.00006571535,0.0009013789,0.0005290678,0.05750917,0.7905436,0.1498316],"study_design_scores_gemma":[0.00004386837,0.00001238639,0.0001219638,0.00009533326,0.00001269291,0.00007032739,0.00002635658,0.002082653,0.00071798,0.05661245,0.9401876,0.00001639857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001507415,0.001531559,0.125522,0.002084863,0.002041863,0.0001454778,0.09028501,0.123481,0.6534009],"genre_scores_gemma":[0.02478329,0.0021491,0.08866093,0.001601572,0.0008770285,0.0005679604,0.1382012,0.06800774,0.6751513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5157698,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2382962033636372,"score_gpt":0.3840330677564494,"score_spread":0.1457368643928122,"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."}}