{"id":"W4205634688","doi":"10.4095/329087","title":"Groundwater Information Network: GIN","year":2021,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater; Internet portal; Environmental science; Database; Water resource management; The Internet; Computer science; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001872884,0.001446027,0.001103496,0.005941221,0.0008832012,0.003886169,0.00213486,0.00146277,0.2119672],"category_scores_gemma":[0.008126757,0.0006253815,0.0005308722,0.01698218,0.0003801262,0.00385876,0.003338168,0.001630912,0.2194452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402628,"about_ca_system_score_gemma":0.006866372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04405661,"about_ca_topic_score_gemma":0.03354746,"domain_scores_codex":[0.9984769,0.0002049836,0.0001636425,0.0003015398,0.0006682313,0.0001847298],"domain_scores_gemma":[0.9961403,0.0004073479,0.000255087,0.0006175871,0.002096677,0.0004831039],"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":[0.00003160413,0.000008883607,0.0002900173,0.0001244522,0.000005235528,0.000008730063,0.00001627445,0.000103332,0.00008678949,0.002963252,0.9813852,0.01497622],"study_design_scores_gemma":[0.00001835943,0.000003544292,0.0006745096,0.00009267439,0.000005736145,0.00001568699,0.00002894909,0.0002991321,0.0001683663,0.003382453,0.9953005,0.00001007336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002595576,0.0003492968,0.002495339,0.001243492,0.0001616111,0.00008781275,0.912552,0.007816204,0.07503466],"genre_scores_gemma":[0.002604369,0.0007324754,0.00657755,0.0005712802,0.00007210747,0.0002340305,0.9492118,0.003619923,0.03637638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2119672,"threshold_uncertainty_score":0.709101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806388250973468,"score_gpt":0.2347578440524255,"score_spread":0.2166939615426909,"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."}}