{"id":"W7077060480","doi":"10.2139/ssrn.5392597","title":"Boring into Groundwater Impact Predictions of Hardrock Mines in Canada Reveals Inadequate Clarity, Timelines, and Monitoring Plans to Inform Decision-Making","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Groundwater; Impact assessment; Rigour; Environmental impact assessment; Scale (ratio); Water quality; Duration (music); Quality (philosophy)","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":[0.001310905,0.0002560699,0.0002509388,0.001029589,0.001387001,0.00188756,0.0007950921,0.0007514785,0.001804483],"category_scores_gemma":[0.01025228,0.00020386,0.0003356986,0.002533237,0.0008066641,0.001206289,0.00106413,0.0009579869,0.0002634553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01568149,"about_ca_system_score_gemma":0.02916134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853994,"about_ca_topic_score_gemma":0.9939415,"domain_scores_codex":[0.9990305,0.0001547804,0.00006829324,0.0001296167,0.0003791161,0.0002377922],"domain_scores_gemma":[0.9935529,0.002796817,0.000644741,0.0002812944,0.002364411,0.0003597977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003401944,0.00007360653,0.786587,0.0002124109,0.0001081796,0.000337738,0.003719771,0.09392746,0.001090186,0.007059424,0.01437409,0.09217003],"study_design_scores_gemma":[0.00002849801,0.00007094862,0.7754828,0.0002056052,0.0000528321,0.0000883445,0.01993485,0.1784994,0.001860555,0.00723452,0.01645261,0.0000890734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770536,0.0003279895,0.003662379,0.004855024,0.00001805827,0.00004775039,0.006679317,0.0002020106,0.00715379],"genre_scores_gemma":[0.9952108,0.0001659315,0.00169055,0.0001285117,0.000002660293,0.000005527021,0.001524324,0.00001949319,0.001252239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568149,"threshold_uncertainty_score":0.1137777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060742290038746,"score_gpt":0.2725392762517912,"score_spread":0.2619318533514037,"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."}}