{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002669401,0.002581277,0.0008750399,0.003906142,0.001189947,0.001008481,0.00315527,0.002315654,0.03490996],"category_scores_gemma":[0.003236197,0.0009858058,0.0009842499,0.001912232,0.0007600536,0.0009674929,0.001189094,0.001623353,0.03570842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009563016,"about_ca_system_score_gemma":0.001757119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368231,"about_ca_topic_score_gemma":0.004666611,"domain_scores_codex":[0.993641,0.0008572433,0.0003087424,0.001081548,0.003892092,0.000219495],"domain_scores_gemma":[0.9986754,0.0001590166,0.0001772362,0.0002080937,0.0006818831,0.00009823955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000616803,0.0003238978,0.001561258,0.001151897,0.00010151,0.0001686365,0.0001339594,0.0006959963,0.8519992,0.002752602,0.04951154,0.09098276],"study_design_scores_gemma":[0.00009122957,0.000284731,0.00233417,0.0001050529,0.00008275631,0.0008034008,0.00005370019,0.00266043,0.8582954,0.0006153553,0.1346158,0.00005779096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1241975,0.01577231,0.500009,0.002125766,0.00259239,0.005819298,0.0444977,0.04784357,0.2571424],"genre_scores_gemma":[0.2918423,0.01317911,0.4346243,0.001754516,0.0003939304,0.006140482,0.0802687,0.003762377,0.1680343],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03490996,"threshold_uncertainty_score":0.1167855,"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."}}