{"id":"W4396283865","doi":"10.15468/dl.hu9ykk","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Geography; Genealogy; Computer science; History; 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":[0.0008401573,0.002125656,0.001572613,0.006061793,0.001079988,0.002428977,0.002955019,0.00206483,0.1163366],"category_scores_gemma":[0.004738793,0.0008229735,0.001230021,0.01006045,0.0004539756,0.002372763,0.002729062,0.002013833,0.1886735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156121,"about_ca_system_score_gemma":0.002320522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606875,"about_ca_topic_score_gemma":0.04656265,"domain_scores_codex":[0.9988995,0.0001317274,0.0001451624,0.0003436681,0.0002796997,0.0002003044],"domain_scores_gemma":[0.9978143,0.0004623247,0.000199902,0.0006044795,0.0006507732,0.000268121],"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":[0.00003257154,0.00001482011,0.0004213477,0.000471484,0.00001499215,0.00002054745,0.00002517676,0.0001177718,0.0001300615,0.000358253,0.9966969,0.001696004],"study_design_scores_gemma":[0.00006324494,0.000008698598,0.002093171,0.0001637153,0.00001276973,0.00005038275,0.00008321831,0.0001690206,0.0002017215,0.0005911026,0.996546,0.00001693474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007236483,0.00003578884,0.00005196406,0.00003750788,0.00001479337,0.00000705714,0.9984968,0.0005210176,0.0007627645],"genre_scores_gemma":[0.0001629161,0.00003144729,0.0001799419,0.00003281488,0.000003279456,0.00002821219,0.9990558,0.0001120105,0.0003935338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8836634,"threshold_uncertainty_score":0.3891848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118603207408897,"score_gpt":0.210601984276964,"score_spread":0.1987416635360743,"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."}}