{"id":"W2898792453","doi":"10.3389/fpls.2018.01585","title":"Neural Net Classification Combined With Movement Analysis to Evaluate Setaria viridis as a Model System for Time of Day of Anther Appearance","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Food and Agriculture; North Carolina Biotechnology Center; U.S. Department of Agriculture","keywords":"Stamen; Setaria viridis; Botany; Biology; Movement (music); Artificial intelligence; Computer science; Weed; Pollen; Physics","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":[0.0005355973,0.0007667139,0.0003850328,0.0006766001,0.0003583297,0.00060367,0.0004126533,0.0006353693,0.002125855],"category_scores_gemma":[0.001077507,0.0001532388,0.0005494826,0.0003772552,0.0001762988,0.000381208,0.0003089392,0.0005042581,0.0002889556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860566,"about_ca_system_score_gemma":0.0005234834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979789,"about_ca_topic_score_gemma":0.01226421,"domain_scores_codex":[0.9998569,0.00002756041,0.0000107516,0.0000502936,0.00002219099,0.00003228899],"domain_scores_gemma":[0.9996516,0.0001805817,0.00004485656,0.0000333637,0.00006187698,0.00002789828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001020933,0.0005611099,0.01489084,0.0001723854,0.0002623779,0.000170881,0.00006215824,0.7511307,0.04154113,0.001488709,0.001763048,0.1869356],"study_design_scores_gemma":[0.00000445106,0.00005091944,0.00212133,0.000001818147,0.000009250119,0.000008484298,0.000007398055,0.9961684,0.001421516,0.0001388697,0.0000636249,0.000003900472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276823,0.0004171169,0.06521475,0.0002401692,0.0001025459,0.0001354869,0.0007410501,0.001367697,0.004098983],"genre_scores_gemma":[0.9829152,0.00005194289,0.01501025,0.00002808618,0.000007837307,0.00005091001,0.0004997236,0.00003050003,0.00140553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01979789,"threshold_uncertainty_score":0.03936529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009053774204683274,"score_gpt":0.2211438919163085,"score_spread":0.2120901177116252,"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."}}