{"id":"W6893407171","doi":"10.5281/zenodo.16815812","title":"DEPRECATED: Matcher (Version 1) for Automated Task Alignment in the Genomic API for Model Evaluation (GAME)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Task (project management); Container (type theory); Python (programming language); Transcription (linguistics); Matching (statistics); Ontology alignment; Key (lock); Graph","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":[0.002151439,0.002872053,0.001155973,0.001333887,0.0008228253,0.002755359,0.00414707,0.001613463,0.1443602],"category_scores_gemma":[0.007587865,0.001785463,0.002136985,0.001045778,0.0005143557,0.0041096,0.004911669,0.00284123,0.09741427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784222,"about_ca_system_score_gemma":0.00187346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008201265,"about_ca_topic_score_gemma":0.007901081,"domain_scores_codex":[0.9984784,0.0002052417,0.0001276426,0.0004692906,0.0004981491,0.000221359],"domain_scores_gemma":[0.9988629,0.0002906026,0.00007679419,0.0004112375,0.0002623866,0.00009608313],"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":[0.0008265621,0.0001494735,0.002468789,0.0007869608,0.0001791374,0.0001647567,0.0003750721,0.004432592,0.005931817,0.01328739,0.9019527,0.06944471],"study_design_scores_gemma":[0.0005526594,0.0002009264,0.005328138,0.000293567,0.00009209226,0.0003800053,0.0002880455,0.1517492,0.03841602,0.04258136,0.7597972,0.0003206788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002099779,0.0001366868,0.146851,0.0001890613,0.0001845787,0.0002266804,0.02858735,0.8129472,0.008777835],"genre_scores_gemma":[0.064037,0.0003322101,0.2676395,0.001276995,0.0001088793,0.002134121,0.208559,0.415651,0.04026145],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1443602,"threshold_uncertainty_score":0.4829331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467398594823993,"score_gpt":0.2936418968347249,"score_spread":0.258967910886485,"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."}}