{"id":"W6930632115","doi":"10.5281/zenodo.14443290","title":"Eurygarka aliciae","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Term (time); Loop (graph theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004254859,0.0001005917,0.0001419411,0.0002003098,0.0007134438,0.0005609567,0.000198439,0.00005627585,0.007367012],"category_scores_gemma":[0.0001712478,0.00008964934,0.000115336,0.000439407,0.00007099037,0.0001152609,0.0003595772,0.0002516126,0.01055726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016773,"about_ca_system_score_gemma":0.000004725256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000762831,"about_ca_topic_score_gemma":3.181198e-8,"domain_scores_codex":[0.9988739,0.00008050017,0.0001757535,0.00032076,0.0002986998,0.0002503633],"domain_scores_gemma":[0.9992638,0.00001350392,0.00001962111,0.0002974214,0.0002447525,0.0001609613],"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":[0.00008784349,0.0001003163,0.000005621589,0.0003541784,0.0001457344,0.00007076398,0.00109184,0.00005614837,0.07453328,0.008756743,0.5858061,0.3289914],"study_design_scores_gemma":[0.000234338,0.0001388905,0.0006175479,0.0001407335,0.0000425185,0.0004465478,0.0001160637,0.002527632,0.0007245246,0.00008339219,0.9948261,0.0001017507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1016051,0.00268298,0.006763777,0.005480857,0.0007249039,0.0008345477,0.0002108916,0.004124299,0.8775727],"genre_scores_gemma":[0.9925753,0.0002620697,0.0003031321,0.0002854315,0.0005263453,1.367026e-8,0.0008278358,0.001522503,0.003697397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8909702,"threshold_uncertainty_score":0.9935404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675331887056102,"score_gpt":0.2747822314415616,"score_spread":0.2380289125710006,"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."}}