{"id":"W2062695698","doi":"10.1080/15440478.2012.737179","title":"Temperature and Moisture Content for Storage Maintenance of Germination Capacity of Seeds of Industrial Hemp, Marijuana, and Ditchweed Forms of<i>Cannabis sativa</i>","year":2012,"lang":"en","type":"article","venue":"Journal of Natural Fibers","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Health Canada","keywords":"Cannabis sativa; Germination; Water content; Moisture; Recalcitrant seed; Cultivar; Horticulture; Agronomy; Biology; Materials science; Composite material; Engineering","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":[0.00007328034,0.0002236329,0.0001342536,0.0001484612,0.0001788379,0.000172911,0.0001844804,0.0001402202,0.001347614],"category_scores_gemma":[0.0001698452,0.0001185511,0.0001541916,0.0001291202,0.0001480687,0.0001772254,0.0001287006,0.0003029503,0.000164302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878853,"about_ca_system_score_gemma":0.0001614182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106206,"about_ca_topic_score_gemma":0.005319994,"domain_scores_codex":[0.9999528,0.000006758662,0.000004104179,0.00001449252,0.000009425115,0.00001245693],"domain_scores_gemma":[0.9998441,0.00002560285,0.00004208494,0.00001881667,0.00002292015,0.00004652411],"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":[0.0006406983,0.00002701477,0.001131026,0.00001514939,0.00000723371,0.0000404787,0.00004571854,0.0000470189,0.9971594,0.00002211163,0.00002283777,0.0008413355],"study_design_scores_gemma":[0.00003012017,0.0009076797,0.0887771,0.000009206638,0.00005009195,0.0001639824,0.0001282472,0.001049519,0.9078478,0.00005795188,0.0009543546,0.00002398462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991184,0.0001731393,0.0001759689,0.00001679584,0.000006156794,0.000006126455,0.0001988677,0.00001098603,0.0002935793],"genre_scores_gemma":[0.9989033,0.00006171778,0.000174025,0.00001008216,0.000001249585,0.000006537264,0.0002799311,0.000008561227,0.0005546393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003106206,"threshold_uncertainty_score":0.006176233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992529074909774,"score_gpt":0.2350805156590482,"score_spread":0.2051552249099504,"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."}}