{"id":"W6930666821","doi":"10.5281/zenodo.15872044","title":"SPCG Computational Artifact for SC25","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artifact (error); Feature (linguistics); Noise (video); Set (abstract data type)","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":[0.001098643,0.001811193,0.001004788,0.003236135,0.001288662,0.002795397,0.00285261,0.002114909,0.1700921],"category_scores_gemma":[0.01177913,0.0006070192,0.002066251,0.003518787,0.0005973598,0.001275915,0.001458786,0.001539622,0.07450321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256515,"about_ca_system_score_gemma":0.00407493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02887065,"about_ca_topic_score_gemma":0.0566473,"domain_scores_codex":[0.9988745,0.0001505878,0.00007948378,0.0003577522,0.000407752,0.0001299063],"domain_scores_gemma":[0.9973077,0.0007488635,0.0000495554,0.0008932013,0.0009216802,0.00007911607],"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":[0.0004988469,0.00007147147,0.0004084104,0.0003771686,0.0001078875,0.0002518093,0.00004070858,0.02142577,0.001971713,0.01718715,0.7872998,0.1703591],"study_design_scores_gemma":[0.0005146746,0.0001014355,0.001350314,0.000193645,0.0001115195,0.0005079694,0.00008693963,0.4256331,0.01585111,0.09308174,0.4624853,0.00008234066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01568601,0.001525149,0.4716922,0.002849079,0.005173751,0.0004651158,0.1852103,0.1879369,0.1294615],"genre_scores_gemma":[0.1184745,0.0005946889,0.5338677,0.0009228307,0.0007958136,0.0007055205,0.2238494,0.03472227,0.08606723],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1700921,"threshold_uncertainty_score":0.5690147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09759131733726677,"score_gpt":0.3564560988528953,"score_spread":0.2588647815156285,"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."}}