{"id":"W4410903544","doi":"10.1007/s44392-025-00028-x","title":"Assessment of Genetic Resources for Managing, Conserving, and Restoring North American Conifers: A Call to Action","year":2025,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Action (physics); Call to action; Geography; Environmental resource management; Forestry; Agroforestry; Biology; Business; Environmental science; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001715961,0.00007402252,0.0001573619,0.0001190535,0.00005587959,0.00002530801,0.0002128905,0.00001568081,0.00002457482],"category_scores_gemma":[0.00005077201,0.00006552833,0.00004773725,0.000199816,0.0001065126,0.00008531028,0.0001470953,0.00008113006,0.000001587198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008701062,"about_ca_system_score_gemma":0.00001799131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005148537,"about_ca_topic_score_gemma":0.0006434337,"domain_scores_codex":[0.999312,0.00001990179,0.000265401,0.00009806042,0.0001671174,0.0001374537],"domain_scores_gemma":[0.9994503,0.00005322495,0.0002600777,0.0001474457,0.00001540822,0.00007348833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004519094,0.00002291,0.9777895,0.00005845435,0.00003458625,0.000004367843,0.0001452225,0.002814882,0.0002036744,0.0001248611,0.01023214,0.008524273],"study_design_scores_gemma":[0.0002733443,0.000290323,0.973215,0.00005447596,0.00004494177,0.000004864782,0.0000883142,0.0009977145,0.00003592786,0.0002412784,0.02469536,0.00005844573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941793,0.00003287443,0.0007841722,0.0007345555,0.00009674137,0.0001343084,0.000001870417,0.000004271958,0.004031873],"genre_scores_gemma":[0.9898257,0.00006171567,0.00880112,0.0002256733,0.00005406206,0.000004592684,2.717752e-7,0.000005556022,0.001021364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446323,"threshold_uncertainty_score":0.2672168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341120535415775,"score_gpt":0.3040844302049198,"score_spread":0.290673224850762,"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."}}