{"id":"W2275133179","doi":"","title":"Evaluating the performance of the Eastern Canadian Diatom Index (IDEC) at integrating water chemistry variability","year":2006,"lang":"en","type":"article","venue":"ORBi (University of Liège)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diatom; Index (typography); Environmental science; Oceanography; Computer science; World Wide Web; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002941947,0.0008831162,0.0003727093,0.001146029,0.001254954,0.001348649,0.000928024,0.0007322974,0.001145943],"category_scores_gemma":[0.004990725,0.0002212089,0.0003887239,0.001400096,0.0003249125,0.0007595786,0.0005683153,0.0003842124,0.0003438701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006636667,"about_ca_system_score_gemma":0.006661253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8923252,"about_ca_topic_score_gemma":0.9283729,"domain_scores_codex":[0.9991803,0.0001041924,0.00003364172,0.0001693624,0.0003663367,0.0001461502],"domain_scores_gemma":[0.9973778,0.0005875477,0.00008600106,0.0001207773,0.001557094,0.0002709057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003219561,0.0008410153,0.4457155,0.0002943031,0.0008563238,0.0002169457,0.0004108718,0.2218714,0.05745874,0.002002463,0.009540784,0.2575721],"study_design_scores_gemma":[0.0002154967,0.0005744508,0.3654029,0.00002873906,0.0004144531,0.00008606246,0.0005176503,0.5737854,0.05013417,0.0004774916,0.008224689,0.0001386608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856685,0.0002806371,0.004524729,0.0001456358,0.00004512262,0.0000922484,0.002613178,0.0005020998,0.006127752],"genre_scores_gemma":[0.9771393,0.000130623,0.01615883,0.00006892876,0.000009264181,0.00002840799,0.003428271,0.00009434949,0.002941925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076748,"threshold_uncertainty_score":0.2166179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664538452894708,"score_gpt":0.2371440384944116,"score_spread":0.2204986539654645,"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."}}