{"id":"W2548062750","doi":"","title":"Saving Our Sugar Maples: Searching for Tough Survivors to Clone","year":2008,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Tree Research and Education Endowment Fund","keywords":"clone (Java method); Sugar; Biology; Food science; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362218,0.0003744415,0.0002714818,0.0006462744,0.006146251,0.003711934,0.001471162,0.002241956,0.03757475],"category_scores_gemma":[0.004382155,0.0002137041,0.0002086361,0.000571651,0.001609023,0.004032825,0.003030413,0.002077963,0.008248926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117305,"about_ca_system_score_gemma":0.003528036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481201,"about_ca_topic_score_gemma":0.05477495,"domain_scores_codex":[0.9993415,0.0001095759,0.00001614172,0.00007761376,0.0002389202,0.0002161325],"domain_scores_gemma":[0.9980906,0.000226175,0.000120392,0.0001235355,0.0003559916,0.0010833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006811581,0.0003216537,0.0130892,0.0001659721,0.00001709969,0.0009580833,0.01373643,0.0000804197,0.003458142,0.00751185,0.4986588,0.4619341],"study_design_scores_gemma":[0.0000157908,0.0002130897,0.01130189,0.0001865792,0.00003076146,0.0007592742,0.04461715,0.0001442231,0.0008682131,0.004239447,0.9375889,0.0000346298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3471128,0.01801229,0.00921718,0.4299209,0.005705185,0.0003535993,0.0003648563,0.001041157,0.1882721],"genre_scores_gemma":[0.461069,0.02193937,0.02492746,0.09840861,0.002373139,0.0003626654,0.000823435,0.0005196788,0.3895767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.985188,"threshold_uncertainty_score":0.1257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547898441885012,"score_gpt":0.2322430338370352,"score_spread":0.2067640494181851,"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."}}