{"id":"W4405663806","doi":"10.1016/j.ecoinf.2024.102974","title":"TerraDactyl: A tool for connecting environmental data to when and where","year":2024,"lang":"en","type":"article","venue":"Ecological Informatics","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Philanthropic Trust","keywords":"Computer science; Environmental data; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000231376,0.00009013959,0.00009323376,0.0000119174,0.0001213873,0.0001415717,0.0002177554,0.0000596747,0.03404526],"category_scores_gemma":[0.00008755514,0.00006921049,0.00002199786,0.0000451554,0.00005758383,0.0003632102,0.0006610274,0.00007277742,0.001288301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946215,"about_ca_system_score_gemma":0.000002605801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005675874,"about_ca_topic_score_gemma":0.00006780341,"domain_scores_codex":[0.9993231,0.000007527336,0.0002129068,0.0001375429,0.000111228,0.0002076827],"domain_scores_gemma":[0.9995722,0.0001294383,0.00002624073,0.0001834441,0.000001059573,0.00008760999],"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":[0.00005283149,0.0002563185,0.01718498,0.0002746367,0.00005994282,0.00001636002,0.008605974,0.00008686096,0.002504936,0.003597115,0.8535126,0.1138475],"study_design_scores_gemma":[0.0001661984,0.0001644001,0.02380801,0.00001094573,0.00001349662,0.00002034037,0.004176261,0.01560904,0.00004624668,0.0002070294,0.9556035,0.0001744941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858649,0.00005692454,0.002266173,0.001440559,0.0001634456,0.0004664139,0.0009023385,0.0001048609,0.00873438],"genre_scores_gemma":[0.9905204,0.00006264124,0.006459209,0.001924631,0.00004031976,0.00004552562,0.0004171506,0.00000926889,0.0005208774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113673,"threshold_uncertainty_score":0.9994893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07234687057754847,"score_gpt":0.2870032871767048,"score_spread":0.2146564165991564,"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."}}