{"id":"W2981502829","doi":"10.4095/299757","title":"Ottawa harvested hydrogeological information geodatabase","year":2017,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spatial database; Hydrogeology; Geography; Database; Cartography; Computer science; Spatial analysis; Remote sensing; 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":[0.001706916,0.001069896,0.0007840713,0.008663441,0.005120456,0.006944203,0.003235037,0.0008688792,0.09609808],"category_scores_gemma":[0.006324638,0.001154557,0.000516105,0.01912556,0.0009129121,0.002992696,0.002625189,0.001116213,0.04327312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03708036,"about_ca_system_score_gemma":0.07604124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9621341,"about_ca_topic_score_gemma":0.9687617,"domain_scores_codex":[0.9974622,0.0001207984,0.0002839619,0.000369172,0.001417384,0.0003465831],"domain_scores_gemma":[0.9865302,0.0006538163,0.0005383901,0.001881786,0.00931323,0.001082576],"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":[0.0001948933,0.00005136837,0.009432898,0.000563845,0.00003895134,0.000191751,0.001125875,0.001211878,0.0009493436,0.008670238,0.9331057,0.04446316],"study_design_scores_gemma":[0.00002085013,0.00000703676,0.01260822,0.000120733,0.00001659934,0.0000468796,0.0006743916,0.0006722536,0.0009996558,0.0004898154,0.9842844,0.00005907206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005645825,0.0002922818,0.002149862,0.0006918307,0.0001272233,0.0006604111,0.8722318,0.002870813,0.1153299],"genre_scores_gemma":[0.02125351,0.0008621962,0.007352904,0.0001826127,0.00002575422,0.0009626368,0.8663485,0.001061534,0.1019504],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09609808,"threshold_uncertainty_score":0.3214801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05263281931620927,"score_gpt":0.2657646117988074,"score_spread":0.2131317924825981,"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."}}