{"id":"W3116800944","doi":"10.3390/f12010009","title":"Assisted Migration Field Tests in Canada and Mexico: Lessons, Limitations, and Challenges","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ministry of Forests","funders":"Coordinación de la Investigación Científica; Universidad Michoacana de San Nicolás de Hidalgo","keywords":"Reforestation; Picea engelmannii; Ecology; Climate change; Geography; Endangered species; Threatened species; Forestry; Agroforestry; Biology; Habitat","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":[0.005340069,0.0006277362,0.0005620187,0.0006999199,0.003117132,0.000961784,0.002269855,0.0008347501,0.001220992],"category_scores_gemma":[0.006646626,0.0002649596,0.0004275966,0.001572393,0.001742392,0.0008412368,0.0007778959,0.001241841,0.0001740451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158268,"about_ca_system_score_gemma":0.01446045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8567361,"about_ca_topic_score_gemma":0.9614575,"domain_scores_codex":[0.996846,0.001395186,0.0001443441,0.000401372,0.0007020904,0.0005109351],"domain_scores_gemma":[0.9891215,0.001911721,0.001584459,0.0007881568,0.005650675,0.0009433992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003243685,0.003497833,0.7137874,0.001200341,0.000828991,0.001361885,0.009990946,0.005730492,0.0226556,0.003202324,0.01935313,0.2151474],"study_design_scores_gemma":[0.0004077332,0.005196881,0.9186912,0.00049385,0.0004670903,0.0003550177,0.01266341,0.003681869,0.006044658,0.001320341,0.05050075,0.0001773115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681544,0.002745573,0.00618561,0.003210502,0.0001742797,0.001096856,0.002123913,0.0002055549,0.01610335],"genre_scores_gemma":[0.9676539,0.001591433,0.02018264,0.001766792,0.00004880316,0.001564376,0.002097023,0.00007204638,0.005022942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432639,"threshold_uncertainty_score":0.2882153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0951452615962111,"score_gpt":0.2513192553735853,"score_spread":0.1561739937773742,"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."}}