{"id":"W6931405252","doi":"10.5281/zenodo.6350809","title":"li-lab-mcgill/covid-npi: EpiTopic release","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Action (physics); Context (archaeology); Identification (biology); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000361254,0.0002308257,0.0002070411,0.0004340319,0.002206539,0.0006732476,0.003565743,0.0001142807,0.101751],"category_scores_gemma":[0.0001977346,0.0002616337,0.00009226253,0.0009220025,0.0001002071,0.0001547044,0.004001595,0.0004345409,0.0198854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298388,"about_ca_system_score_gemma":0.0000105827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006088148,"about_ca_topic_score_gemma":8.987352e-7,"domain_scores_codex":[0.9976875,0.000341414,0.0002493228,0.0008041061,0.0005198974,0.0003977966],"domain_scores_gemma":[0.9978416,0.00002263586,0.0001977899,0.001558634,0.0001136299,0.0002656989],"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":[0.00000211165,0.00009752389,2.128582e-7,0.00005928516,0.00002617071,0.0000298148,0.0001210934,0.00001215464,0.0001176717,0.03731195,0.8321155,0.1301065],"study_design_scores_gemma":[0.0002485952,0.00006391998,0.00001644124,0.00001442947,0.00001248829,0.00008108022,0.0000313527,0.001011355,0.0000284383,0.0003899567,0.9978254,0.0002765649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001068486,0.0002714661,0.03647091,0.001261297,0.0001969028,0.0005816219,0.0005594851,0.003956178,0.9566914],"genre_scores_gemma":[0.007465563,0.000916955,0.006750439,0.001924654,0.0008720502,0.000001341948,0.01054441,0.01790344,0.9536211],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1657099,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864921633525481,"score_gpt":0.2406434747811362,"score_spread":0.2119942584458814,"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."}}