{"id":"W6948248253","doi":"10.5061/dryad.dv41ns24c","title":"Dissolved calcium and pH raster layers for freshwater environments in Canada and the USA","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Raster graphics; Interpolation (computer graphics); Water quality; Scale (ratio); Multivariate interpolation; Hydrology (agriculture); Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003212616,0.0008677072,0.0005836405,0.002905907,0.0009649962,0.001274551,0.001749092,0.0006316509,0.01531676],"category_scores_gemma":[0.00178115,0.0004759267,0.0007798805,0.009483271,0.0003977891,0.0004361355,0.0007352396,0.0008345692,0.006686872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007505237,"about_ca_system_score_gemma":0.01411984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9453211,"about_ca_topic_score_gemma":0.9737725,"domain_scores_codex":[0.9996425,0.00001857367,0.00002559905,0.00008113474,0.0001421844,0.0000900044],"domain_scores_gemma":[0.9987786,0.0001043947,0.00008971548,0.0001205368,0.0007816408,0.0001249668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001142606,0.00005121261,0.01597047,0.0005311628,0.0001095874,0.00009912809,0.0001882255,0.004691984,0.0002747046,0.001497549,0.9645652,0.01190649],"study_design_scores_gemma":[0.0002588019,0.00001069834,0.09406233,0.000389649,0.00006135036,0.00008857669,0.0006430392,0.005274724,0.0007792612,0.001053675,0.8972943,0.00008353035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001658602,0.00004462026,0.00008656788,0.00003275553,0.00000536322,0.00001139876,0.9972555,0.0001575671,0.0007476676],"genre_scores_gemma":[0.00308228,0.00006920165,0.0005972383,0.00001423568,0.000001709441,0.00004590481,0.9953803,0.00003832953,0.0007708518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05467886,"threshold_uncertainty_score":0.1100017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888322909366602,"score_gpt":0.2764841134500638,"score_spread":0.2376008843563978,"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."}}