{"id":"W2106879375","doi":"10.1038/nclimate1934","title":"Clouds and temperature drive dynamic changes in tropical flower production","year":2013,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Precipitation; Tropics; Tropical and subtropical dry broadleaf forests; Climate change; Productivity; Tropical forest; Primary production; Tropical climate; Ecosystem; Atmospheric sciences; Ecology; Climatology; Agroforestry; Geography; Biology; Meteorology","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":[0.0001555352,0.0001223544,0.0001637363,0.0003169644,0.000248656,0.0006556642,0.0001945657,0.0002747207,0.00244162],"category_scores_gemma":[0.0006881066,0.0001938409,0.0002447643,0.000360219,0.0002673869,0.0003881529,0.0003273707,0.000242657,0.0001990091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354967,"about_ca_system_score_gemma":0.0002294584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150788,"about_ca_topic_score_gemma":0.01447465,"domain_scores_codex":[0.9999211,0.00001595012,0.000004646418,0.00002127231,0.00001112818,0.00002600561],"domain_scores_gemma":[0.9995776,0.0001512332,0.0001155567,0.00003870214,0.00004963874,0.00006717274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001353813,0.0001536876,0.7702029,0.0001577751,0.0003486625,0.000337109,0.0008601247,0.0101321,0.196251,0.001982148,0.001556805,0.01666386],"study_design_scores_gemma":[0.000007385125,0.00002322888,0.9959981,0.000003318717,0.00001532718,0.00003366454,0.0001621108,0.001956492,0.001186979,0.0001910552,0.0004160136,0.000006404338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978817,0.0001565376,0.0002821067,0.0001191389,0.000009568016,0.000004995773,0.0003638659,0.00001295064,0.001169267],"genre_scores_gemma":[0.9995734,0.00004921149,0.00006093207,0.00001563859,0.000005014126,0.000002207389,0.0001166281,0.000004759696,0.0001722017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150788,"threshold_uncertainty_score":0.02288175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200824057376799,"score_gpt":0.221561039748966,"score_spread":0.199552799175198,"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."}}