{"id":"W4292881714","doi":"","title":"Water activity: A new tool for moisture management of seedlots in tree seed centres","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Moisture; Water content; Tree (set theory); Environmental science; Agricultural engineering; Materials science; Engineering; Mathematics; Geotechnical engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004981162,0.0005650621,0.0004837577,0.001990152,0.0004405712,0.0008109887,0.0007546789,0.0004575488,0.002773933],"category_scores_gemma":[0.0005659221,0.0002546097,0.0002716937,0.001212002,0.0003291552,0.0007651818,0.0006044242,0.0004395487,0.0008108002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007614615,"about_ca_system_score_gemma":0.0005589672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124073,"about_ca_topic_score_gemma":0.03857142,"domain_scores_codex":[0.999665,0.00006622585,0.0000170638,0.0001079759,0.0001097479,0.0000339584],"domain_scores_gemma":[0.9995224,0.0001069571,0.0001064988,0.00003578708,0.0001310563,0.00009723708],"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":[0.001153794,0.0003095181,0.1581487,0.0006904276,0.0001006678,0.0005664878,0.001250012,0.002296275,0.5270267,0.000664506,0.003118277,0.3046747],"study_design_scores_gemma":[0.00007786546,0.0007894912,0.8135243,0.0001173055,0.0001694756,0.0009248208,0.00110138,0.03781015,0.1194798,0.0006931018,0.02509223,0.0002201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81214,0.003988095,0.1570649,0.0003522124,0.0001894546,0.0005450096,0.005887646,0.006147071,0.01368564],"genre_scores_gemma":[0.8731952,0.0008018434,0.1174928,0.0001253849,0.00005899121,0.0003159113,0.001530639,0.0003477947,0.006131415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124073,"threshold_uncertainty_score":0.04223424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515595373266901,"score_gpt":0.2195519847387621,"score_spread":0.2043960310060931,"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."}}