{"id":"W6929790270","doi":"10.5281/zenodo.10996137","title":"Grass Phylogeny Working Group III: data repository","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Phylogenetic tree; Plastid; Pipeline (software); Phylogenetics; Data set; Shotgun; Set (abstract data type); Nuclear gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001895109,0.002563019,0.00186821,0.004692944,0.00077827,0.001844919,0.003083836,0.001748968,0.0401838],"category_scores_gemma":[0.004776968,0.0007619954,0.001103711,0.007608763,0.0004369288,0.001450235,0.0024622,0.001720837,0.05379216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070534,"about_ca_system_score_gemma":0.002391101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009625116,"about_ca_topic_score_gemma":0.01236927,"domain_scores_codex":[0.9987385,0.0001783186,0.0002172118,0.0004786912,0.0002370582,0.0001503512],"domain_scores_gemma":[0.9984607,0.0003391718,0.0002178182,0.000440567,0.0003112903,0.0002305433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002144494,0.00004873994,0.002911493,0.002295613,0.0002012876,0.0001045258,0.0001096426,0.0009451076,0.001727888,0.001739175,0.9816489,0.008053181],"study_design_scores_gemma":[0.0003384806,0.00003258709,0.006884222,0.0003746172,0.0001080353,0.0001281034,0.0001095893,0.0007956703,0.0009781695,0.002137312,0.9880653,0.0000479916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003375455,0.00007189652,0.0002753332,0.00002639719,0.00001219819,0.00001387909,0.9981883,0.0006734028,0.0004009563],"genre_scores_gemma":[0.0004100393,0.00003803631,0.0005942184,0.00001659585,0.000001962017,0.00005985458,0.9986136,0.0001163368,0.0001493018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0401838,"threshold_uncertainty_score":0.1344283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354854167017114,"score_gpt":0.2623980771134649,"score_spread":0.2269126604117535,"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."}}