{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003147645,0.0001835584,0.0002361048,0.00007659412,0.0001472547,0.000127758,0.00006593238,0.0001956379,0.00006149416],"category_scores_gemma":[0.00007074016,0.00009000802,0.00005530275,0.0005885966,0.00007967124,0.0003156395,0.00003574583,0.0001179285,0.00000446454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006050262,"about_ca_system_score_gemma":0.00002424928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004775614,"about_ca_topic_score_gemma":0.001351528,"domain_scores_codex":[0.9988241,0.0001950563,0.0002699148,0.00039307,0.0001186043,0.0001992591],"domain_scores_gemma":[0.9993016,0.0003267489,0.0001071448,0.0000538157,0.0001359451,0.00007474487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006168943,0.0001344967,0.01618833,0.0002082287,0.00002047072,0.000005331806,0.0003030621,0.000003474275,0.9318805,0.0000825188,0.0003734335,0.05018326],"study_design_scores_gemma":[0.0008633216,0.001034715,0.9698985,0.0001055661,0.00001330953,0.000006914123,0.000157389,0.0007838174,0.02095693,0.0000652113,0.005921107,0.0001932504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860618,0.00001858307,0.00001310026,0.00007515371,0.0001009176,0.1135771,0.00006930447,0.00005853132,0.00002550061],"genre_scores_gemma":[0.7937727,0.000004607124,0.0000313245,0.00004353796,0.0001450107,0.2055616,0.00002980956,0.000003428053,0.0004079426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537101,"threshold_uncertainty_score":0.3670421,"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."}}