{"id":"W6967427217","doi":"10.5061/dryad.2jk12","title":"Data from: Water availability as an agent of selection in introduced populations of Arabidopsis thaliana: impacts on flowering time evolution","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cline (biology); Selection (genetic algorithm); photoperiodism; Trait; Precipitation; Phenology; Arabidopsis","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":[0.001352618,0.001495267,0.001181382,0.00215154,0.0007453084,0.001648062,0.002501916,0.001755474,0.03423173],"category_scores_gemma":[0.005162338,0.0006569348,0.001138594,0.00376149,0.0004624523,0.0009003892,0.001864144,0.001399725,0.02127977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460121,"about_ca_system_score_gemma":0.002001078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03677765,"about_ca_topic_score_gemma":0.05886078,"domain_scores_codex":[0.9992749,0.0001074948,0.000128327,0.0002102835,0.0001675853,0.0001114457],"domain_scores_gemma":[0.9978636,0.0007830303,0.0003559768,0.0003990338,0.0003949782,0.0002033612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002762548,0.0001002966,0.0103238,0.00349396,0.0002553994,0.0001466035,0.0002554147,0.002276438,0.001410941,0.001381071,0.9745788,0.005501095],"study_design_scores_gemma":[0.001253533,0.00005647576,0.05121912,0.0006346348,0.0001840708,0.000150567,0.0002640336,0.002101242,0.001741456,0.00273401,0.939536,0.0001248537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005901307,0.00003880995,0.00009479227,0.0000479494,0.00001026844,0.00001027978,0.9986333,0.0002875876,0.0002868811],"genre_scores_gemma":[0.001784348,0.0000425671,0.0005407956,0.00003440374,0.000003453969,0.0001071416,0.9970789,0.00009537338,0.0003130993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03677765,"threshold_uncertainty_score":0.1145165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811007487812502,"score_gpt":0.3153087781888626,"score_spread":0.2571987033107376,"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."}}