{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001881988,0.0001654464,0.0001974025,0.00001149068,0.00007085143,0.0001661542,0.0003245109,0.00006909601,0.08078613],"category_scores_gemma":[0.00001060875,0.0001068715,0.00002052521,0.00004075962,0.0002085983,0.00007571479,0.0007610847,0.0001309984,0.001112394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527151,"about_ca_system_score_gemma":0.00002817232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7190626,"about_ca_topic_score_gemma":0.995593,"domain_scores_codex":[0.9990451,0.00003109698,0.0001649233,0.0003638934,0.0001643129,0.0002306844],"domain_scores_gemma":[0.9996047,0.00005537919,0.00004788856,0.0002138625,7.472511e-7,0.00007742164],"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":[0.00004861904,0.00001027059,0.001652854,0.000009426937,0.00001120859,0.00000865515,0.00005734256,7.55414e-7,0.00004540781,4.109314e-7,0.997476,0.0006790387],"study_design_scores_gemma":[0.0007724247,0.00001070143,0.00531889,0.00001612969,0.00003658079,0.000003502236,0.0004635251,0.00002218043,0.00009945245,0.000006037815,0.993102,0.0001485556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06872178,0.00006289326,4.686467e-7,0.0004629775,0.0001493596,0.000639511,0.9294567,1.538764e-7,0.0005061313],"genre_scores_gemma":[0.007343253,0.0003229642,0.00003652702,0.0007042334,0.00003628579,0.0002394831,0.9871897,0.00001834905,0.004109249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2765304,"threshold_uncertainty_score":0.9996654,"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."}}