{"id":"W6888782092","doi":"10.23687/d9d3a8c5-b9a8-f90b-9a3c-a8f4d4027b95","title":"Southern Ontario Surficial 3D Model","year":2024,"lang":"en","type":"dataset","venue":"GEOSCAN","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aquifer; Digital elevation model; Geologic map; Geological survey; Groundwater; Hydrology (agriculture); Hydrogeology","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":[0.0001421153,0.0008079034,0.0004049554,0.0008243207,0.001094174,0.002125187,0.001972228,0.0008509674,0.02686578],"category_scores_gemma":[0.0005372466,0.000496699,0.0007872112,0.001212866,0.0004655733,0.0006609191,0.001205229,0.0003943677,0.004939663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006675217,"about_ca_system_score_gemma":0.0067122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.84861,"about_ca_topic_score_gemma":0.8413927,"domain_scores_codex":[0.9998268,0.000009040071,0.000009844764,0.00004241162,0.0000839024,0.00002793235],"domain_scores_gemma":[0.9997872,0.00001604883,0.00001275261,0.00002597298,0.0001405266,0.00001751263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001594135,0.00002860737,0.01338098,0.0002500216,0.0000537044,0.0003357728,0.0005033006,0.8528108,0.003970117,0.02325501,0.043129,0.06212331],"study_design_scores_gemma":[0.00003649228,0.00001589751,0.004031982,0.00004689497,0.00002976457,0.00008120842,0.0001602709,0.8725132,0.0009447868,0.002290491,0.1198018,0.00004724132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1417219,0.0009956139,0.3333611,0.00117038,0.0002434842,0.0006419403,0.145597,0.0106076,0.3656611],"genre_scores_gemma":[0.681181,0.001451452,0.07923936,0.0001831553,0.00002843419,0.0006975897,0.06444824,0.001145115,0.1716257],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.15139,"threshold_uncertainty_score":0.304563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025479579048055,"score_gpt":0.2500419600026169,"score_spread":0.2297871642121363,"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."}}