{"id":"W2806874866","doi":"10.1007/s10584-018-2201-7","title":"Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba’s forests","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Vulnerability (computing); Range (aeronautics); Environmental resource management; Climate change; Forest management; Multivariate statistics; Disturbance (geology); Geography; Adaptation (eye); Ecology; Environmental science; Forestry; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007479225,0.0006049313,0.0004529648,0.003034876,0.001415492,0.002098521,0.001157832,0.0006924351,0.005778512],"category_scores_gemma":[0.01701284,0.0001294567,0.0004619063,0.00231605,0.0008835723,0.001671405,0.001253157,0.0006312419,0.0004707751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265456,"about_ca_system_score_gemma":0.004379803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06159943,"about_ca_topic_score_gemma":0.2169941,"domain_scores_codex":[0.9979088,0.001123232,0.0001031172,0.000134796,0.0005016726,0.0002283456],"domain_scores_gemma":[0.9901432,0.005371435,0.0007941585,0.0002961653,0.002401937,0.0009931787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00242687,0.0008505292,0.6054181,0.000505223,0.0006358309,0.0003904038,0.002401659,0.06491788,0.001444338,0.04710999,0.02007253,0.2538266],"study_design_scores_gemma":[0.0004479537,0.003534755,0.3339362,0.000651933,0.001165773,0.0005018371,0.0193624,0.5287645,0.002952891,0.06560807,0.04289489,0.0001788669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761675,0.0007142161,0.0496418,0.002414643,0.00009501549,0.001326742,0.006935657,0.0004085751,0.06229579],"genre_scores_gemma":[0.9441736,0.0001543979,0.0500799,0.0000967499,0.00001388984,0.0003507439,0.002216158,0.00002999322,0.002884514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384006,"threshold_uncertainty_score":0.1224818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1733232377957636,"score_gpt":0.3737579693214204,"score_spread":0.2004347315256569,"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."}}