{"id":"W4389391506","doi":"10.3390/f14122382","title":"Will Genomic Information Facilitate Forest Tree Breeding for Disease and Pest Resistance?","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Department of Agriculture","keywords":"Resistance (ecology); Biology; Threatened species; Genomics; Tree breeding; Biotechnology; Selection (genetic algorithm); Agroforestry; Environmental resource management; Ecology; Genome; Genetics; Habitat; Computer science; Gene; Woody plant","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004462354,0.0003051452,0.0003140434,0.0009051912,0.0003771141,0.001759699,0.0004971945,0.001295398,0.005093622],"category_scores_gemma":[0.005840672,0.0001467883,0.0002796188,0.001069569,0.0009087399,0.002762208,0.0004236066,0.001020536,0.001028536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000714031,"about_ca_system_score_gemma":0.001274534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742779,"about_ca_topic_score_gemma":0.004271754,"domain_scores_codex":[0.9992113,0.0003887301,0.00003407545,0.0001119562,0.0001097561,0.0001441462],"domain_scores_gemma":[0.9961929,0.002063903,0.0005831959,0.000271949,0.0005492822,0.00033878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005515149,0.0003071332,0.0767164,0.0008744664,0.0001468907,0.001279435,0.001465295,0.004721734,0.06269068,0.06756917,0.02479191,0.7588854],"study_design_scores_gemma":[0.0001214697,0.0006955065,0.2051179,0.001602501,0.0004479108,0.002123907,0.005613691,0.0092371,0.02803781,0.1834818,0.563307,0.000213397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.524486,0.03436851,0.1035677,0.2452355,0.00312112,0.000214084,0.007704813,0.001153822,0.0801485],"genre_scores_gemma":[0.8819271,0.02141603,0.06972759,0.01415822,0.001338184,0.00005723651,0.003170037,0.0001724361,0.008033162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005093622,"threshold_uncertainty_score":0.02359945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226054595313013,"score_gpt":0.2098830463070153,"score_spread":0.1976225003538852,"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."}}