{"id":"W6930523793","doi":"10.5281/zenodo.12095896","title":"Aho heft 19 pdf download","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Point (geometry); Stuttgart","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005847371,0.001444704,0.0009681193,0.002383243,0.001704233,0.007726218,0.001680468,0.001971461,0.9450987],"category_scores_gemma":[0.002526538,0.0007218627,0.001037911,0.001965458,0.0007137253,0.005091746,0.003329264,0.001996621,0.925215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416888,"about_ca_system_score_gemma":0.001118756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004321092,"about_ca_topic_score_gemma":0.007701005,"domain_scores_codex":[0.9993756,0.00003232532,0.0000208755,0.00007415043,0.0003971117,0.00009998845],"domain_scores_gemma":[0.9985883,0.0001281704,0.00004031411,0.0002299342,0.0006954604,0.0003178686],"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":[0.00004239447,0.00002913654,0.00004093079,0.0001138757,0.000002220699,0.00004081611,0.00002127686,0.00003500481,0.0002848479,0.001600875,0.9545855,0.04320312],"study_design_scores_gemma":[0.000009616503,0.00001292894,0.00016612,0.00005143122,0.000001570938,0.00004256074,0.00003561894,0.00003457941,0.0002013308,0.0005337336,0.9989047,0.000005828823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002283146,0.0003625133,0.0007745744,0.000448456,0.00128686,0.0001284888,0.003811782,0.003976759,0.9889821],"genre_scores_gemma":[0.0006833746,0.0002691771,0.0002524695,0.0002100771,0.000192324,0.00002898282,0.001939503,0.001382736,0.9950414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0549013,"threshold_uncertainty_score":0.07831007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352791750333372,"score_gpt":0.2471743401337761,"score_spread":0.2336464226304424,"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."}}