{"id":"W7080418557","doi":"10.25976/2u81-ra56","title":"Great Bear Lake (Sahtú) Surface water temperature monitoring","year":2025,"lang":"en","type":"dataset","venue":"DataStream","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Baseline (sea); Water quality; Productivity; Ecosystem; Fishing; Arctic; Habitat; Aquatic ecosystem","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":[0.0002796212,0.0001739076,0.0001512335,0.0005198923,0.0004820721,0.0003420258,0.0003313826,0.0001567429,0.002405343],"category_scores_gemma":[0.0004920798,0.00008109459,0.0001400596,0.0008975005,0.00009769733,0.0002590972,0.0006380164,0.0002644049,0.0005940577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907869,"about_ca_system_score_gemma":0.0008274044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04764255,"about_ca_topic_score_gemma":0.1083832,"domain_scores_codex":[0.999756,0.00002837324,0.00001971445,0.000057851,0.0001066237,0.00003135287],"domain_scores_gemma":[0.9996988,0.00001639191,0.00005330068,0.00001822278,0.0001731984,0.0000401794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001916573,0.0001312242,0.8214467,0.0002527723,0.0001012681,0.00068422,0.001747286,0.0006714814,0.00941874,0.0005591433,0.06009808,0.1046975],"study_design_scores_gemma":[0.00001819029,0.00009706843,0.9542612,0.00004363317,0.00003579967,0.0001959618,0.0006988671,0.001688603,0.001385744,0.0001084283,0.04144916,0.00001730921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8782289,0.001006526,0.004353883,0.0008183077,0.0002028728,0.0004959038,0.04795515,0.0009836577,0.06595477],"genre_scores_gemma":[0.9413964,0.0005324839,0.008236323,0.0003543108,0.0001273392,0.0006480613,0.03448553,0.00005491089,0.01416458],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9523575,"threshold_uncertainty_score":0.0947305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104222285338979,"score_gpt":0.2342868284311352,"score_spread":0.2238645998972373,"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."}}