{"id":"W54957227","doi":"10.4095/223958","title":"Canadian Groundwater Inventory: regional hydrogeological characterization of the south-central part of the Maritimes Basin","year":2008,"lang":"en","type":"book","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hydrogeology; Structural basin; Geology; Groundwater; Hydrology (agriculture); Water resource management; Geography; Geomorphology; Environmental science; Geotechnical engineering","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":[0.000283565,0.0004743668,0.0003332108,0.00506434,0.001728964,0.0007937869,0.0007281039,0.0001973364,0.002768412],"category_scores_gemma":[0.0007559489,0.000246773,0.0002987546,0.01183295,0.0002623984,0.0002941052,0.0005719,0.0002239497,0.0004384567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02565416,"about_ca_system_score_gemma":0.04189767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966902,"about_ca_topic_score_gemma":0.9987929,"domain_scores_codex":[0.9996268,0.00001096305,0.00001883529,0.00005133393,0.0002144972,0.00007764946],"domain_scores_gemma":[0.9989642,0.00001844601,0.00007433106,0.00002292817,0.0007980177,0.0001221497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002845267,0.00009430783,0.7807726,0.0007897082,0.0002392095,0.0004266784,0.00204448,0.003486034,0.00737603,0.002868187,0.07682857,0.1247897],"study_design_scores_gemma":[0.00001159373,0.000009709215,0.9605556,0.00006219212,0.00003691314,0.00007717728,0.000583133,0.001524824,0.0004926302,0.00008802346,0.03653548,0.00002263222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6410865,0.003781815,0.002306319,0.0009809969,0.00004074355,0.0005346602,0.3144116,0.0004024886,0.03645483],"genre_scores_gemma":[0.8392922,0.003654876,0.008023113,0.0002077874,0.00001810277,0.0002959904,0.1322693,0.00008128803,0.01615726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565416,"threshold_uncertainty_score":0.1861348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574983448938164,"score_gpt":0.1600569457833775,"score_spread":0.1343071112939958,"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."}}