{"id":"W4395381761","doi":"10.15468/dl.8pjzvx","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009054987,0.002041106,0.001644832,0.00456614,0.001152491,0.002722583,0.003078968,0.002307654,0.1559767],"category_scores_gemma":[0.005840099,0.000941729,0.001375355,0.008608704,0.0004368444,0.002658722,0.002687717,0.002176872,0.2260399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728675,"about_ca_system_score_gemma":0.002486435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108853,"about_ca_topic_score_gemma":0.0348158,"domain_scores_codex":[0.9989259,0.0001474317,0.0001375425,0.0003915815,0.0002181401,0.0001793831],"domain_scores_gemma":[0.9977689,0.0005957651,0.000177871,0.0006196153,0.0005828057,0.0002551736],"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":[0.00002863504,0.00001212157,0.0003379712,0.0005064129,0.00001364614,0.00001472264,0.00002007077,0.0001146724,0.000092712,0.0003450146,0.9970813,0.001432644],"study_design_scores_gemma":[0.00008043675,0.00000879066,0.001547539,0.000181376,0.00001386581,0.00004132793,0.00006755628,0.0002098445,0.0001892978,0.0008395842,0.9968029,0.00001737418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004902524,0.00003510435,0.00005497608,0.00004881706,0.00001486006,0.0000075893,0.9984643,0.0005506906,0.0007747101],"genre_scores_gemma":[0.0001656589,0.00003815195,0.0002254852,0.00006260789,0.000003963353,0.00004835458,0.9987403,0.0001630315,0.0005524289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440233,"threshold_uncertainty_score":0.521794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220496503648586,"score_gpt":0.2211425347602886,"score_spread":0.19909288439543,"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."}}