{"id":"W6966481474","doi":"10.4224/40003106","title":"Evaluating climate change effects on ice conditions in the lower St. Lawrence River","year":2023,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Extrapolation; Climate change; Context (archaeology); Percentile; Sea ice; Effects of global warming; Global warming","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004855278,0.0001924371,0.0001353495,0.0004807294,0.0003072286,0.0008356272,0.0003675445,0.0002028898,0.001152657],"category_scores_gemma":[0.0008226207,0.0001171933,0.0002292298,0.0008572874,0.0002030657,0.0003061018,0.0003192319,0.0001856115,0.0002011706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00351964,"about_ca_system_score_gemma":0.001725175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5813735,"about_ca_topic_score_gemma":0.8104604,"domain_scores_codex":[0.9997022,0.00007076628,0.00001241482,0.00002874209,0.0001237473,0.00006216863],"domain_scores_gemma":[0.9994837,0.0001041229,0.00009296703,0.00001902192,0.0002507004,0.0000495548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002725243,0.0001678607,0.8986309,0.0001185326,0.0001417441,0.0004640725,0.0003392581,0.06791471,0.003181631,0.000892045,0.005298146,0.02257858],"study_design_scores_gemma":[0.00001859315,0.0001396223,0.9540901,0.00004709868,0.00005384735,0.00004914687,0.001317,0.03485294,0.002858216,0.0002072164,0.006343223,0.00002312115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839309,0.0001013148,0.0004758148,0.000169579,0.00001101666,0.00002794106,0.004663917,0.00006287591,0.01055663],"genre_scores_gemma":[0.9924012,0.0001455349,0.0006250843,0.00002626208,0.000004180265,0.00002036345,0.00356366,0.00001122343,0.003202468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186265,"threshold_uncertainty_score":0.8421837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150826020303655,"score_gpt":0.4375985812304707,"score_spread":0.2225159792001052,"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."}}