{"id":"W2059998194","doi":"10.1007/s10584-010-9861-2","title":"A process-based approach to estimate lodgepole pine (Pinus contorta Dougl.) distribution in the Pacific Northwest under climate change","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Forest Service; National Aeronautics and Space Administration","keywords":"Pinus contorta; Environmental science; Climate change; Frost (temperature); Range (aeronautics); Species distribution; Ecosystem; Productivity; Physical geography; Climatology; Ecology; Atmospheric sciences; Geography; Habitat; Biology; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001215684,0.000469826,0.0004104862,0.002370125,0.0006215468,0.0009715553,0.0006891286,0.0007418349,0.0005846961],"category_scores_gemma":[0.003265617,0.0003464905,0.0007246856,0.001176157,0.0002780668,0.000704555,0.0005418385,0.000642274,0.0001086849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008897514,"about_ca_system_score_gemma":0.001075741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06335095,"about_ca_topic_score_gemma":0.05347954,"domain_scores_codex":[0.9995797,0.000108727,0.00002931126,0.0001372655,0.0001026844,0.00004231118],"domain_scores_gemma":[0.9987549,0.0007709039,0.0001357717,0.00005802562,0.0002178073,0.0000627409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003333929,0.0006221964,0.276399,0.00008280101,0.0005011712,0.0002063156,0.0002084088,0.6090146,0.003800581,0.00341884,0.0004509515,0.1049618],"study_design_scores_gemma":[0.00001076394,0.00003192405,0.02426039,0.000003188753,0.0000322648,0.00001856388,0.00004897415,0.9739562,0.0003082294,0.00119893,0.0001217737,0.000008786561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7504702,0.000261414,0.2464285,0.0001763744,0.0000313141,0.0001211934,0.0006181768,0.0003235395,0.001569252],"genre_scores_gemma":[0.964593,0.00007491295,0.03430992,0.00001602282,0.00001889517,0.00005152478,0.0005901504,0.00001143453,0.000334241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06335095,"threshold_uncertainty_score":0.1259644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545062773710065,"score_gpt":0.2762366028206991,"score_spread":0.2507859750835984,"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."}}