{"id":"W3012466423","doi":"10.1101/2020.03.19.999367","title":"Development and optimization of a germination assay and long-term storage for <i>Cannabis sativa</i> pollen","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Pollen; Germination; Germplasm; Cryopreservation; Biology; Desiccation; DAPI; Pollination; Botany; Cannabis sativa; Horticulture; Staining; Cell biology; Embryo; Genetics","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":[0.0006286178,0.0005957229,0.0003410641,0.0005593187,0.0005249142,0.0005325142,0.0005774805,0.0003731697,0.001056894],"category_scores_gemma":[0.0006295656,0.0002769405,0.0004044229,0.0004366614,0.000314426,0.0003001381,0.0004026395,0.0006443534,0.0006359288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004738631,"about_ca_system_score_gemma":0.0004350784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068378,"about_ca_topic_score_gemma":0.004741227,"domain_scores_codex":[0.9995139,0.00008354834,0.00007721492,0.0001307292,0.0001464384,0.00004815609],"domain_scores_gemma":[0.9994856,0.0001122217,0.0001098927,0.0001131653,0.0001231916,0.00005596242],"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":[0.00001705393,0.000006416838,0.0002126992,0.00001876355,0.000002683941,0.00001464013,0.00001552611,0.000028506,0.9987314,0.00002133578,0.00002328181,0.0009076864],"study_design_scores_gemma":[0.000003596209,0.0000976087,0.006933187,0.00001064501,0.00002592001,0.0001198814,0.0000223451,0.0005720351,0.9904189,0.00002823323,0.001752939,0.00001472424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941446,0.002339412,0.09478123,0.0002540477,0.0001338196,0.0006699285,0.002740771,0.001078182,0.003858117],"genre_scores_gemma":[0.8427116,0.001500504,0.1405194,0.0001222943,0.00003991007,0.001003312,0.00646726,0.0006678521,0.006967905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002068378,"threshold_uncertainty_score":0.00411272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267495692822835,"score_gpt":0.2236726061932744,"score_spread":0.2109976492650461,"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."}}