{"id":"W4394478147","doi":"10.6084/m9.figshare.19106990","title":"Sample information and NMR assignments","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Information retrieval; Computer science; Chemistry; Chromatography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001959918,0.000160008,0.000136746,0.00002974545,0.0001181142,0.0000945256,0.0002452867,0.0001657883,0.9668081],"category_scores_gemma":[0.0003539748,0.000173634,0.0000481696,0.0000408346,0.000003051744,0.0001221049,0.0003332831,0.0003874119,0.0004752696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008261003,"about_ca_system_score_gemma":0.00005386345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000766713,"about_ca_topic_score_gemma":0.000007723272,"domain_scores_codex":[0.9992422,0.00001226044,0.0001720189,0.0001563924,0.0002649622,0.0001521894],"domain_scores_gemma":[0.9993386,0.00004029357,0.0001701968,0.0003747813,0.00001518311,0.00006099593],"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":[0.000004548549,0.00001206069,0.000001173647,0.000786406,0.00001911067,0.000005385872,0.000008623389,7.304427e-7,0.000008458614,8.64782e-7,0.9989104,0.0002421977],"study_design_scores_gemma":[0.0001244488,0.000009987212,0.000009499166,0.0001887946,0.00001415927,0.000004093615,0.000007639542,0.000004908935,0.0003964521,0.00001692396,0.9990456,0.0001774692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003539105,0.0001067624,3.462326e-7,0.00001201647,0.0000228691,0.00005471312,0.9986476,0.00002896123,0.001123148],"genre_scores_gemma":[0.000004239712,0.00001654493,0.00001020759,0.0003846873,0.00005279263,0.0001856525,0.9992704,0.00000709635,0.00006835006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9663328,"threshold_uncertainty_score":0.7080588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017406526812482,"score_gpt":0.2588902252359904,"score_spread":0.2414836984235084,"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."}}