{"id":"W6931105373","doi":"10.5281/zenodo.15871929","title":"SPCG Computational Artifact for SC25","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ophthalmology and Visual Impairment Studies","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":[0.001126685,0.001287427,0.0008205328,0.00259404,0.001219054,0.002400244,0.00197056,0.001930309,0.08914728],"category_scores_gemma":[0.01206296,0.000377409,0.001268018,0.002980884,0.00057227,0.001069539,0.001126884,0.001400257,0.02589936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147816,"about_ca_system_score_gemma":0.003649314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251936,"about_ca_topic_score_gemma":0.05011643,"domain_scores_codex":[0.9988187,0.0001481519,0.00007988878,0.0003188471,0.0004898657,0.0001445013],"domain_scores_gemma":[0.996968,0.0009780464,0.00006064454,0.0008598372,0.001041808,0.00009168727],"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":[0.001170131,0.000151644,0.001032009,0.0004759243,0.0001621448,0.000600326,0.00007251748,0.07014927,0.008260491,0.03048508,0.4464684,0.440972],"study_design_scores_gemma":[0.0002331394,0.000141587,0.002873521,0.0001194294,0.00008361317,0.0006144918,0.00009789317,0.8084453,0.02414762,0.0403876,0.1227833,0.00007253203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05266812,0.001939055,0.6846136,0.003769562,0.005545984,0.0004048661,0.05007046,0.08192512,0.1190632],"genre_scores_gemma":[0.2991453,0.0005922619,0.5280765,0.0009737542,0.0007808006,0.0004389996,0.0673054,0.01665717,0.08602984],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08914728,"threshold_uncertainty_score":0.2982273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05476726309295579,"score_gpt":0.3401959076282521,"score_spread":0.2854286445352963,"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."}}