{"id":"W6962857635","doi":"10.18419/darus-2727/3","title":"CIFs.zip","year":2023,"lang":"de","type":"dataset","venue":"Universitätsbibliothek Stuttgart","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204592,0.004260302,0.002435478,0.005431251,0.001488655,0.00430347,0.003858069,0.003639049,0.2032345],"category_scores_gemma":[0.008552575,0.00103412,0.001378078,0.008866841,0.0006678776,0.003075001,0.002627727,0.002266361,0.3841141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178991,"about_ca_system_score_gemma":0.002251917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069517,"about_ca_topic_score_gemma":0.03186385,"domain_scores_codex":[0.9984717,0.0002711754,0.0001293914,0.0005297423,0.0003121594,0.0002857834],"domain_scores_gemma":[0.9971443,0.0008046323,0.0001927804,0.0008520713,0.0006623009,0.0003438033],"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":[0.0000471854,0.00001522875,0.0001435936,0.0003399595,0.000009720808,0.000007083891,0.000007548569,0.0001119193,0.00004878622,0.0002820051,0.997472,0.001514957],"study_design_scores_gemma":[0.0002344643,0.00002591523,0.001103189,0.0001966094,0.00001850785,0.00004437564,0.0000529387,0.0005207059,0.0002783754,0.001363103,0.9961343,0.00002746809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007871174,0.000115302,0.00005675199,0.00009054414,0.0000402936,0.00001298512,0.9970587,0.0009872458,0.001559466],"genre_scores_gemma":[0.0002839465,0.00007693974,0.0001894062,0.00006933197,0.00001245234,0.00004720704,0.9982681,0.0001345878,0.0009179178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7967655,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390751082788048,"score_gpt":0.2643515742293245,"score_spread":0.2404440634014441,"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."}}