{"id":"W4390823818","doi":"10.21769/bioprotoc.4927","title":"Seed Collection in Temperate Trees—Clean, Fast, and Effective Extraction of &lt;em&gt;Populus&lt;/em&gt; Seeds for Laboratory Use and Long-term Storage","year":2024,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Germination; Temperate climate; Biology; Ecosystem; Botany; Horticulture; Agroforestry; Ecology","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":[0.001583057,0.001581609,0.0009555011,0.001801048,0.001354611,0.0005807633,0.001564652,0.0008602439,0.06323496],"category_scores_gemma":[0.00157974,0.0008685043,0.0008037983,0.0009464636,0.0006254063,0.0006266068,0.0008515883,0.001698024,0.04785799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004523851,"about_ca_system_score_gemma":0.001495005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630753,"about_ca_topic_score_gemma":0.006234177,"domain_scores_codex":[0.9989032,0.0001742521,0.0001540791,0.0003668605,0.0002669817,0.0001346081],"domain_scores_gemma":[0.9990048,0.0002093012,0.0001279224,0.0002217693,0.0002874296,0.0001487499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001039627,0.0001660519,0.001163905,0.002973146,0.00006256757,0.0003947323,0.0002631858,0.0003286837,0.8893325,0.002471757,0.064588,0.03721593],"study_design_scores_gemma":[0.0004236363,0.001019937,0.0234782,0.001108753,0.0002238568,0.001392383,0.0001991764,0.001422611,0.3728266,0.002873769,0.594836,0.0001949605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06939405,0.007566463,0.4401135,0.002327703,0.002682389,0.02850655,0.3689369,0.02665925,0.0538132],"genre_scores_gemma":[0.07194538,0.006361451,0.4642363,0.002322451,0.0004047006,0.04397901,0.3372545,0.007240163,0.06625597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06323496,"threshold_uncertainty_score":0.211542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193862608734603,"score_gpt":0.2860858107417094,"score_spread":0.2666995498682491,"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."}}