{"id":"W4408470136","doi":"10.5194/egusphere-2024-2958-ac2","title":"Additional information on RC1","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Signaling Pathways in Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001427195,0.001529332,0.002132964,0.003639255,0.002210296,0.005791816,0.003930381,0.002127151,0.9325883],"category_scores_gemma":[0.008162403,0.0009484233,0.001193412,0.007171186,0.0005352918,0.003382278,0.002766028,0.001787067,0.8328342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222168,"about_ca_system_score_gemma":0.004047045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211504,"about_ca_topic_score_gemma":0.02006681,"domain_scores_codex":[0.9986243,0.0001515812,0.0000876995,0.0003199168,0.0005996735,0.0002168684],"domain_scores_gemma":[0.9966066,0.000521821,0.0001144539,0.0007972597,0.001441239,0.00051872],"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":[0.00003509242,0.00001030268,0.0001083392,0.0002299391,0.000004441772,0.00001676499,0.00001688559,0.0001298513,0.0001510207,0.0009336408,0.9871611,0.0112026],"study_design_scores_gemma":[0.00003202222,0.000008759542,0.0004567659,0.00007892818,0.00000612717,0.00001762325,0.00003258474,0.0001904777,0.0003157591,0.0008349494,0.9980123,0.00001362714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003926771,0.0003650337,0.003179081,0.0009646564,0.001864079,0.0004674956,0.6514801,0.01654186,0.3247449],"genre_scores_gemma":[0.009837001,0.001035902,0.006867363,0.00186366,0.0006963726,0.001006532,0.5859817,0.02670393,0.3660075],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06741172,"threshold_uncertainty_score":0.09615463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262917348829927,"score_gpt":0.2815257665288646,"score_spread":0.2688965930405653,"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."}}