{"id":"W3020774353","doi":"","title":"Groundwater Information Network: enabling online access and analysis of Canadian groundwater information","year":2009,"lang":"en","type":"article","venue":"AGUSM","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Groundwater; Information access; Computer science; Environmental science; Geology; World Wide Web","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":[0.00390179,0.0007978714,0.0005810177,0.0103915,0.002648942,0.004096465,0.001505075,0.0007251875,0.02082778],"category_scores_gemma":[0.02061487,0.0004711335,0.0004545951,0.01715356,0.0005299922,0.003858845,0.00366347,0.0007907769,0.006495109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01461529,"about_ca_system_score_gemma":0.04290273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9292141,"about_ca_topic_score_gemma":0.9352987,"domain_scores_codex":[0.9967502,0.0004087762,0.0002413344,0.0002988287,0.001839289,0.0004615875],"domain_scores_gemma":[0.9855481,0.002479594,0.0006585007,0.001904347,0.007918213,0.001491192],"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":[0.0003833646,0.000156174,0.02130185,0.0004313273,0.00007681373,0.0002060062,0.001864183,0.003107499,0.003967279,0.02552053,0.6974642,0.2455208],"study_design_scores_gemma":[0.0001203989,0.00003422667,0.05947426,0.0003065529,0.0001282626,0.0001103212,0.002189416,0.0605071,0.007739349,0.01492403,0.8542266,0.0002395525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.06035613,0.001014829,0.08667156,0.009224455,0.0003367784,0.002037916,0.573673,0.06794731,0.1987381],"genre_scores_gemma":[0.2809349,0.002378235,0.2460554,0.0008924016,0.000213824,0.001505362,0.3963255,0.004976722,0.06671765],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07078594,"threshold_uncertainty_score":0.1424056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671514928164875,"score_gpt":0.2837479257893266,"score_spread":0.2570327765076778,"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."}}