{"id":"W6948466129","doi":"10.5281/zenodo.10366486","title":"Data and scripts for Quantifying the role of genome size and repeat content in adaptive variation and the architecture of flowering time in Amaranthus tuberculatus","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variation (astronomy); Scripting language; Genome size; Genome; Adaptive evolution","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":[0.003955537,0.003375427,0.002626473,0.003745561,0.002259141,0.002468896,0.003785128,0.0017214,0.2599049],"category_scores_gemma":[0.01106466,0.00246795,0.002247842,0.00318006,0.001138453,0.001910498,0.001950559,0.003469464,0.09472308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641931,"about_ca_system_score_gemma":0.00296417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007625705,"about_ca_topic_score_gemma":0.008182386,"domain_scores_codex":[0.9976255,0.0003529674,0.0004523877,0.0007768751,0.00052554,0.0002666822],"domain_scores_gemma":[0.9927522,0.00417652,0.0004621855,0.001369123,0.0008293737,0.0004106963],"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":[0.002063499,0.0005058706,0.006297271,0.004983623,0.0004048044,0.0005596074,0.001132041,0.002898372,0.03035504,0.008637659,0.9007101,0.04145201],"study_design_scores_gemma":[0.004782408,0.0003402399,0.03820453,0.001510086,0.0005887398,0.001094317,0.0004484037,0.01783097,0.05054471,0.03585536,0.8481836,0.000616571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002761801,0.00009754713,0.01984261,0.0001548471,0.0001249999,0.000644766,0.9216134,0.05089698,0.003863078],"genre_scores_gemma":[0.0143674,0.0001922566,0.1027812,0.0008590245,0.0001070648,0.01391322,0.7912948,0.06643967,0.01004539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2599049,"threshold_uncertainty_score":0.8694685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928631635734341,"score_gpt":0.230063091153326,"score_spread":0.1807767747959826,"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."}}