{"id":"W4398736267","doi":"10.7910/dvn/itvlik/oeqtzd","title":"post-update.sample","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sample (material); Chemistry; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.002427688,0.00251023,0.001713579,0.003862461,0.000997018,0.004104819,0.002911652,0.002872882,0.2987194],"category_scores_gemma":[0.01524889,0.001006797,0.001807261,0.003890895,0.0006511295,0.002226105,0.002799772,0.001832415,0.2983916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350125,"about_ca_system_score_gemma":0.002214985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335377,"about_ca_topic_score_gemma":0.0282236,"domain_scores_codex":[0.9987074,0.0002389533,0.000133372,0.0004586898,0.0002222624,0.0002392733],"domain_scores_gemma":[0.994922,0.001345949,0.0002930312,0.001825308,0.001091987,0.0005216832],"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":[0.00006731435,0.00001375441,0.0003519542,0.0001942235,0.00001714506,0.000006219284,0.000007412594,0.0000868497,0.00002845779,0.0001742227,0.9967649,0.002287587],"study_design_scores_gemma":[0.001006389,0.00005572938,0.002823335,0.0002997624,0.00004734154,0.00004887997,0.00006861364,0.0008259965,0.0004051797,0.003873897,0.9905047,0.00004009365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001565126,0.00006280223,0.0001246535,0.000140439,0.0001598892,0.00003347766,0.9970234,0.001119799,0.001179053],"genre_scores_gemma":[0.001060784,0.00006612708,0.0006449366,0.0002631828,0.00007444176,0.0002228248,0.9934751,0.0005168975,0.003675542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2987194,"threshold_uncertainty_score":0.999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08484112206769932,"score_gpt":0.3766856081386232,"score_spread":0.2918444860709239,"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."}}