{"id":"W6949189625","doi":"10.5281/zenodo.11754214","title":"Karte island pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gloom; Nucleofection; Population; Articular cartilage damage","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007211036,0.0002058824,0.0001791825,0.000503806,0.0004746348,0.001530496,0.002550444,0.0001625087,0.04746999],"category_scores_gemma":[0.0002743623,0.0002112708,0.00006551782,0.0007218973,0.0001154615,0.0002208369,0.001869763,0.0004018861,0.2787812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053588,"about_ca_system_score_gemma":0.000004413384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001212268,"about_ca_topic_score_gemma":4.384508e-7,"domain_scores_codex":[0.9980199,0.0003291415,0.0002237948,0.00065985,0.000430143,0.0003371251],"domain_scores_gemma":[0.9984836,0.000009450161,0.0001399561,0.001071187,0.000161038,0.0001347863],"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":[0.000002563184,0.00002380083,3.010158e-8,0.0001094825,0.00003077036,0.00001214771,0.0002586007,0.000001559813,0.00008164198,0.04251458,0.9026986,0.05426619],"study_design_scores_gemma":[0.0001193308,0.00008468,0.000004973168,0.0001089248,0.00001118938,0.00008738501,0.00001645084,0.001466403,0.00006697992,0.001072476,0.9967349,0.0002263571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[9.908518e-7,0.0002869512,0.2211903,0.0002340324,0.0004779757,0.0002678637,0.00008256178,0.001986794,0.7754725],"genre_scores_gemma":[0.0001536189,0.0001863369,0.03838908,0.0001483794,0.000495935,6.844444e-8,0.0005319885,0.007438357,0.9526562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2313112,"threshold_uncertainty_score":0.999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582012850390425,"score_gpt":0.2711277083381531,"score_spread":0.2353075798342488,"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."}}