{"id":"W6930152259","doi":"10.5281/zenodo.12318961","title":"Axtstiel schablone pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curiosity","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":[0.0006064767,0.001750449,0.001067362,0.003419835,0.001455827,0.007156251,0.002213235,0.001978594,0.8964421],"category_scores_gemma":[0.002885554,0.0009031469,0.0009869857,0.002326796,0.0006990709,0.005697414,0.003398477,0.002492012,0.8768813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331442,"about_ca_system_score_gemma":0.001480118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011833,"about_ca_topic_score_gemma":0.003272115,"domain_scores_codex":[0.9992911,0.00003789171,0.00003656424,0.00009922351,0.0004611772,0.00007413299],"domain_scores_gemma":[0.9983967,0.0001919749,0.00006178951,0.0002577248,0.0007460428,0.0003457994],"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":[0.00006233187,0.00003467084,0.00004704738,0.0003124526,0.000003898574,0.0001003293,0.00004279821,0.0001134506,0.001171872,0.002499503,0.8898605,0.1057512],"study_design_scores_gemma":[0.000008131869,0.0000131881,0.000108605,0.00006618888,0.00000230588,0.00009352118,0.00002323543,0.00006372848,0.0006722611,0.0006705213,0.9982708,0.000007526432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004481452,0.001849947,0.00362117,0.001102917,0.002929733,0.000194757,0.009279835,0.01263651,0.9679371],"genre_scores_gemma":[0.001291331,0.001105976,0.0009117468,0.0003997372,0.0002976804,0.00005992828,0.004335729,0.002416023,0.9891819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1035579,"threshold_uncertainty_score":0.1477128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243723492297447,"score_gpt":0.2627223030326266,"score_spread":0.2402850681096521,"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."}}