{"id":"W6967137022","doi":"10.5063/f1kp80mq","title":"A photographic guide to spring phenology in woody plants of Western North America","year":2024,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phenology; Spring (device); Woody plant; Temperate climate; Cutting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003468068,0.000982156,0.001727896,0.003673923,0.00004640627,0.00008155087,0.001884386,0.0005265652,0.0004475494],"category_scores_gemma":[0.0001608554,0.00102109,0.0002703769,0.002520578,0.0002653197,0.0001236995,0.001171749,0.001404556,0.04517754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550711,"about_ca_system_score_gemma":0.0003187968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01533634,"about_ca_topic_score_gemma":0.0612485,"domain_scores_codex":[0.9946956,0.0002497799,0.001461825,0.001570271,0.0007896554,0.001232858],"domain_scores_gemma":[0.9967545,0.000198481,0.000502822,0.002144443,0.00007208755,0.0003277257],"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":[0.0002306907,0.0002288799,0.02530453,0.0004937428,0.000311602,0.001192593,0.0002447932,0.00005804211,0.0008092418,4.435033e-7,0.9706767,0.0004487396],"study_design_scores_gemma":[0.0006064437,0.0002490157,0.01406491,0.001039941,0.0002379302,0.00006921667,0.0001350548,0.00002133747,0.00009421299,0.000007074228,0.9825577,0.0009171226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.166802,0.001268943,0.000002316637,0.00001962076,0.0006512088,0.0008474559,0.8300452,0.0001642579,0.0001989643],"genre_scores_gemma":[0.01008485,0.0009744783,0.0001748395,0.0004754176,0.0002921255,0.000260611,0.987353,0.0003215697,0.00006315875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1573077,"threshold_uncertainty_score":0.9992239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382881961150265,"score_gpt":0.2885769320831842,"score_spread":0.2747481124716816,"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."}}