{"id":"W7116293532","doi":"10.5281/zenodo.17807458","title":"Canada1Water Digital Terrain Model with Bathymetry dataset","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Bathymetry; Digital elevation model; Geodetic datum; Terrain; Elevation (ballistics); Raised-relief map","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":[0.000449038,0.0009308871,0.0006793429,0.003276094,0.001276892,0.001983641,0.003182104,0.0007937862,0.04691382],"category_scores_gemma":[0.002436611,0.000482523,0.0009188968,0.01115741,0.0004453167,0.001180601,0.001572044,0.001782943,0.02642042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009463169,"about_ca_system_score_gemma":0.02367201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.94395,"about_ca_topic_score_gemma":0.967924,"domain_scores_codex":[0.9993756,0.00002639524,0.00004404431,0.00007452454,0.0003518023,0.0001276148],"domain_scores_gemma":[0.9976969,0.00006412531,0.00005604861,0.0001765746,0.001837957,0.0001684478],"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":[0.00003853958,0.00001576224,0.001598157,0.0001544266,0.00002440144,0.00005303986,0.00007629077,0.001980118,0.0002385111,0.002177558,0.9815325,0.01211065],"study_design_scores_gemma":[0.000080526,0.000003277988,0.005484022,0.0001561332,0.00002202048,0.00003112454,0.0002041564,0.005361927,0.0005727382,0.001386218,0.9866413,0.00005654155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005789094,0.00006134091,0.001041645,0.0002184925,0.00003664192,0.00004738802,0.990432,0.001206105,0.006377579],"genre_scores_gemma":[0.003593542,0.0001401138,0.004305955,0.00008958494,0.000006002967,0.0001114039,0.9877898,0.0004180624,0.003545575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05605,"threshold_uncertainty_score":0.1569424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682194779499163,"score_gpt":0.3037121845786804,"score_spread":0.2768902367836887,"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."}}