{"id":"W6947839087","doi":"10.4224/crm.2016.aza123.20040422","title":"AZA123: Calibration Solution for Azaspiracid-1, -2, and -3","year":2016,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Calibration; Dilution; Series (stratigraphy); Accuracy and precision","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003615369,0.0001562911,0.0001255409,0.00002718294,0.00007343672,0.0001182895,0.00009075845,0.0001778212,0.009130722],"category_scores_gemma":[0.00003326,0.0001282699,0.00006089466,0.00003104228,0.0001687236,0.000221575,0.00008935993,0.00003770199,0.0005025071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750067,"about_ca_system_score_gemma":0.00001090215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007001914,"about_ca_topic_score_gemma":0.0001168824,"domain_scores_codex":[0.999118,0.000007582417,0.0001344259,0.0003027212,0.0002523238,0.000184937],"domain_scores_gemma":[0.9995922,0.00001823919,0.0001236914,0.000169166,0.000007765627,0.00008895488],"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":[0.000009677387,0.0000272366,0.0009933675,0.00002180438,0.000009149577,0.000001691144,0.000008913173,2.993012e-8,0.001504043,0.0003190427,0.98031,0.01679508],"study_design_scores_gemma":[0.000207139,0.00004261821,0.0008042902,0.00003118553,0.00001120876,0.00001007396,0.00001962348,0.00001806483,0.0003711985,0.00007467913,0.9982249,0.0001850287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002050943,0.0001540924,0.001522234,0.00009288262,0.0004349724,0.0002975597,0.0003198431,0.0001487254,0.9968246],"genre_scores_gemma":[0.008889936,0.00003483739,0.00003322591,0.00009270224,0.0002336078,0.00006144126,0.0001168813,0.0001135041,0.9904239],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01791492,"threshold_uncertainty_score":0.9917751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322973811286321,"score_gpt":0.2308575821969112,"score_spread":0.217627844084048,"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."}}