{"id":"W7051531342","doi":"","title":"Objective: Leveraging McGill Library Resources for Climate Change Impact Research","year":2025,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Agriculture; Environmental impact assessment; Information system","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":[0.01394766,0.001129744,0.0005126973,0.006456876,0.00512545,0.01644419,0.002998772,0.001756601,0.1329063],"category_scores_gemma":[0.03161712,0.0006146855,0.0007700293,0.005731004,0.001764999,0.003944582,0.01128555,0.001732555,0.03841632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01014729,"about_ca_system_score_gemma":0.05387052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2474734,"about_ca_topic_score_gemma":0.5706444,"domain_scores_codex":[0.9920454,0.002404452,0.0003315735,0.0005643344,0.003564865,0.001089394],"domain_scores_gemma":[0.9586684,0.008990567,0.003871503,0.003347857,0.01491845,0.01020314],"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":[0.00008117326,0.00009083719,0.004380449,0.0004882471,0.00003192766,0.00009135663,0.000291945,0.0001512038,0.0003253129,0.003435596,0.8455049,0.145127],"study_design_scores_gemma":[0.00002294619,0.00003923404,0.01241677,0.000299787,0.00003244757,0.00003398294,0.0008072132,0.0001883992,0.000546599,0.001362874,0.984212,0.00003774681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01438512,0.01328178,0.00573561,0.1864842,0.009571926,0.002147219,0.04184164,0.005109802,0.7214428],"genre_scores_gemma":[0.1344586,0.01580563,0.04260236,0.06245206,0.006979876,0.002142585,0.02467904,0.003382646,0.7074972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2474734,"threshold_uncertainty_score":0.4920658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397666000028299,"score_gpt":0.292243051928973,"score_spread":0.2524764519261431,"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."}}