{"id":"W2977558732","doi":"","title":"MAPLE SYRUP AND CLIMATE CHANGE IN ONTARIO: ASSESSING TRANSDISCIPLINARY RESEARCH ACROSS MULTIPLE, RELATED PROJECTS","year":2019,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Geography; Geology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02359906,0.0003118517,0.0005864764,0.004122363,0.02105251,0.006025355,0.001871538,0.001372344,0.001959938],"category_scores_gemma":[0.04771765,0.0004881251,0.0004086399,0.005172079,0.006667763,0.00266093,0.008100792,0.00122406,0.000202879],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06039822,"about_ca_system_score_gemma":0.1054101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8102368,"about_ca_topic_score_gemma":0.9473466,"domain_scores_codex":[0.9775679,0.01082844,0.0008400989,0.001058049,0.007850889,0.001854589],"domain_scores_gemma":[0.9573182,0.01430036,0.004714347,0.001869715,0.01758502,0.0042123],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001492741,0.0001719931,0.170538,0.0005766635,0.0001072365,0.001482784,0.7610302,0.0007608585,0.001526949,0.002292666,0.002408807,0.05895468],"study_design_scores_gemma":[0.000009902353,0.0001979681,0.1539036,0.0002581595,0.0000314646,0.0001350686,0.8206965,0.0004863506,0.000558045,0.0006144349,0.02305757,0.00005097146],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784157,0.0008172571,0.001124294,0.003209632,0.00004252518,0.0004805719,0.0001810954,0.00001966638,0.0157093],"genre_scores_gemma":[0.9943303,0.000739364,0.001938187,0.0002099676,0.00000812286,0.0002976714,0.00006588072,0.0000120369,0.00239835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9764009,"threshold_uncertainty_score":0.4382218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490252544024242,"score_gpt":0.4085608699165849,"score_spread":0.2595356155141607,"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."}}