{"id":"W1992664830","doi":"10.3390/d2111181","title":"The CC-Bio Project: Studying the Effects of Climate Change on Quebec Biodiversity","year":2010,"lang":"en","type":"article","venue":"Diversity","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Parks Canada; Ouranos; Environment and Climate Change Canada; McGill University; Ministère des Ressources naturelles et des Forêts (Québec); Nature Conservancy of Canada; Université Laval; Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe; Ducks Unlimited Canada; Université du Québec à Rimouski","funders":"Government of Canada; Université du Québec à Rimouski","keywords":"Biodiversity; Climate change; Ecosystem; Environmental resource management; Documentation; Work (physics); Geography; Resource (disambiguation); Natural resource; Ecosystem services; Land use, land-use change and forestry; Ecology; Land use; Environmental science; Biology; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001262848,0.0003386262,0.0002095604,0.0008267364,0.001145092,0.0009297068,0.0009704267,0.0004608907,0.004535032],"category_scores_gemma":[0.002015383,0.000110423,0.0002866564,0.002153811,0.0005365353,0.0006650986,0.0006821231,0.0005463478,0.0002900723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0214801,"about_ca_system_score_gemma":0.01490101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827016,"about_ca_topic_score_gemma":0.9836699,"domain_scores_codex":[0.9995159,0.0002002851,0.000008206966,0.00005136574,0.0001326163,0.0000916083],"domain_scores_gemma":[0.9980567,0.0004251519,0.0001786485,0.0001441825,0.0007954708,0.0003997287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009581828,0.0009547531,0.5732236,0.0004985576,0.0005243099,0.0005994886,0.003525767,0.02910432,0.005422455,0.02228065,0.1724472,0.1904607],"study_design_scores_gemma":[0.0001388463,0.0001734839,0.90975,0.0001061925,0.00007866511,0.00005908614,0.001951657,0.01798645,0.001441867,0.00160008,0.06664062,0.00007300285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411221,0.002219116,0.008509492,0.009779445,0.0001854541,0.0006622085,0.07712954,0.0003849382,0.06000774],"genre_scores_gemma":[0.9392684,0.001243089,0.01218468,0.001174152,0.0000595128,0.0005948293,0.01917831,0.0001182715,0.02617868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0214801,"threshold_uncertainty_score":0.1558498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156598753239911,"score_gpt":0.2327361787270167,"score_spread":0.2011701911946175,"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."}}