{"id":"W4398493168","doi":"10.7910/dvn/itvlik/eearos","title":"pre-applypatch.sample","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001814521,0.003026406,0.001630869,0.004394575,0.0008808777,0.003192528,0.003130611,0.003259533,0.1770113],"category_scores_gemma":[0.01259251,0.00110063,0.001849477,0.007086299,0.0006404207,0.002373756,0.002725517,0.001723579,0.1718338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496343,"about_ca_system_score_gemma":0.002417001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975581,"about_ca_topic_score_gemma":0.03214885,"domain_scores_codex":[0.9985147,0.0002726749,0.0001767886,0.0005150287,0.000267143,0.0002536568],"domain_scores_gemma":[0.9960039,0.001293328,0.0003080755,0.00124803,0.0007649476,0.0003815708],"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":[0.00005151104,0.00001201797,0.0004988053,0.0005109697,0.00003016496,0.00001200688,0.00001330244,0.0001762823,0.0000480138,0.000284855,0.9971356,0.001226506],"study_design_scores_gemma":[0.0005055343,0.00002552947,0.002973537,0.0003514883,0.000042329,0.00004100833,0.00005901089,0.0005144521,0.0003466527,0.002204262,0.9929021,0.00003410221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006389858,0.00003708023,0.00004659396,0.00005134875,0.00002317095,0.000009184489,0.9987937,0.0005002469,0.00047475],"genre_scores_gemma":[0.0003825681,0.00003810667,0.0002143093,0.00007364804,0.0000126725,0.0000792166,0.9984861,0.0002147639,0.0004986149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8229887,"threshold_uncertainty_score":0.5921619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044924714662275,"score_gpt":0.2458837234224185,"score_spread":0.2254344762757957,"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."}}