{"id":"W6888030131","doi":"10.18419/darus-2727/2","title":"ssNMR.zip","year":2023,"lang":"es","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":[0.001129389,0.004191738,0.002470521,0.004932035,0.001264705,0.003897134,0.003428965,0.003472674,0.207149],"category_scores_gemma":[0.007493085,0.001066834,0.001385293,0.007577865,0.0006189352,0.002837722,0.002919991,0.002011593,0.4440795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522886,"about_ca_system_score_gemma":0.001741388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196327,"about_ca_topic_score_gemma":0.01861582,"domain_scores_codex":[0.9986172,0.0002914875,0.00012966,0.0004833504,0.0002640293,0.0002143223],"domain_scores_gemma":[0.9975851,0.0006809016,0.0001727584,0.0007528876,0.0005216319,0.0002868156],"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":[0.00006108238,0.00001727088,0.0001444379,0.0004245902,0.00001282186,0.000008628455,0.000009371585,0.0001227464,0.0000694616,0.0003122085,0.9968951,0.001922407],"study_design_scores_gemma":[0.0002643014,0.00002784763,0.0009386724,0.0001983354,0.00002100488,0.00004479883,0.00004871185,0.0004935272,0.0003046047,0.001520064,0.996111,0.00002722312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008178486,0.0001236774,0.00007857624,0.00008860662,0.00004242955,0.00001191903,0.9967919,0.001204158,0.001576926],"genre_scores_gemma":[0.0002521929,0.00007750848,0.0002064763,0.00006554458,0.00001249163,0.00004212026,0.9982412,0.000166404,0.0009360937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.792851,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226977280259953,"score_gpt":0.2732948402113317,"score_spread":0.2510250674087322,"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."}}