{"id":"W2167856909","doi":"10.1111/cag.12155","title":"An analysis of recent observed climate trends and variability in Labrador","year":2015,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"ArcticNet","keywords":"Climatic variability; Climatology; Climate change; Geography; North Atlantic oscillation; Environmental science; El Niño Southern Oscillation; Physical geography; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003322914,0.0001513017,0.0001596028,0.001234107,0.0002184809,0.0005500024,0.0002891206,0.0001585276,0.0008517165],"category_scores_gemma":[0.0007690697,0.00007357099,0.0003010242,0.002384496,0.0001334572,0.0001873012,0.0002076598,0.0001605256,0.000187463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008994383,"about_ca_system_score_gemma":0.0004474559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08690111,"about_ca_topic_score_gemma":0.1286631,"domain_scores_codex":[0.9998457,0.00003192868,0.00001851339,0.00003806991,0.00002629008,0.0000393822],"domain_scores_gemma":[0.9994785,0.0001053059,0.0002246301,0.0000398906,0.0001063394,0.00004530374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007611887,0.00003564838,0.9863602,0.00004754058,0.0001094076,0.00007764855,0.0002555346,0.0007903476,0.0008431492,0.00004738501,0.0003716046,0.01098553],"study_design_scores_gemma":[9.336424e-7,0.00001665268,0.9989784,0.000003153578,0.00001034078,0.00001431214,0.0001425003,0.0003133136,0.00008599051,0.000003899258,0.0004284205,0.000002004943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972839,0.0001632406,0.00008336218,0.00003910487,0.000002195379,0.000003921675,0.002015342,0.00001587825,0.0003930339],"genre_scores_gemma":[0.9970276,0.000183871,0.0001756882,0.00001472386,0.000007494561,0.000007758294,0.00230552,0.000004619595,0.0002727855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9130989,"threshold_uncertainty_score":0.1727906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514565087647661,"score_gpt":0.2260333798957589,"score_spread":0.2008877290192823,"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."}}