{"id":"W6950505923","doi":"10.5281/zenodo.8083819","title":"Ceratoculicoides confusus Fasbender 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aedeagus; Apex (geometry); Holotype; Dorsum; Sternum","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377382,0.00129068,0.0006801925,0.003077947,0.00224727,0.0008570024,0.0008114119,0.001272222,0.01056706],"category_scores_gemma":[0.0009210198,0.0004659609,0.0003655519,0.002476591,0.001043403,0.001880486,0.001053734,0.001334315,0.009854284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531227,"about_ca_system_score_gemma":0.001303083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03933604,"about_ca_topic_score_gemma":0.06162645,"domain_scores_codex":[0.9995121,0.00003299619,0.0000744719,0.0001705816,0.0001460157,0.00006390717],"domain_scores_gemma":[0.999288,0.00008091384,0.0002468967,0.00009192273,0.0001857039,0.0001065432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009358312,0.0003659829,0.08698515,0.002108261,0.0001942379,0.003576199,0.002295061,0.001829561,0.02823468,0.002341957,0.05843418,0.8126989],"study_design_scores_gemma":[0.0003462649,0.0005790643,0.4820725,0.002665418,0.0005464094,0.02301375,0.005050505,0.003411768,0.007974042,0.001851095,0.4723279,0.0001612739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5269422,0.02899307,0.01693608,0.002659728,0.004338364,0.003263161,0.03232875,0.002335712,0.3822029],"genre_scores_gemma":[0.8764901,0.01251381,0.03608969,0.003419638,0.0006416328,0.001237492,0.02967095,0.0002750587,0.03966166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03933604,"threshold_uncertainty_score":0.07821411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483891501646232,"score_gpt":0.2574990306963434,"score_spread":0.2091098805317202,"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."}}