{"id":"W6943541884","doi":"10.15468/dl.ybay78","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Spring (device); Center (category theory); Research center; Wildlife","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":[0.0008982705,0.002548534,0.001909943,0.005679772,0.001282223,0.003449123,0.003259206,0.002275223,0.2113905],"category_scores_gemma":[0.007288077,0.000990005,0.00169887,0.009994751,0.0004046637,0.003968974,0.003593437,0.002170203,0.331842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669386,"about_ca_system_score_gemma":0.002268746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969699,"about_ca_topic_score_gemma":0.03356301,"domain_scores_codex":[0.998569,0.0001640262,0.0001860668,0.0005092063,0.0003430406,0.0002286401],"domain_scores_gemma":[0.9973795,0.0006422346,0.0002022067,0.0007361712,0.0007474598,0.0002922774],"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":[0.00004232798,0.00001178508,0.0003337046,0.0005026839,0.00001374975,0.00001981063,0.00002180196,0.0001080876,0.00009559622,0.0003478587,0.9956461,0.002856405],"study_design_scores_gemma":[0.00005659033,0.00001279226,0.001220835,0.0001633351,0.0000128142,0.00005379107,0.00008013432,0.0002950738,0.0001994361,0.0009310271,0.996955,0.00001924732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007857792,0.00008098972,0.0001471602,0.0000798771,0.00003527556,0.00001113883,0.9957605,0.002221376,0.001585021],"genre_scores_gemma":[0.0002572351,0.0000705566,0.0004618184,0.00009170897,0.000009168969,0.00004862519,0.997555,0.0004791273,0.001026862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7886096,"threshold_uncertainty_score":0.7071715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}