{"id":"W6905845152","doi":"10.15468/dl.opfnrw","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAINT; State (computer science); Matching (statistics); Range (aeronautics)","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":[0.0007052863,0.003234121,0.00218306,0.007359705,0.001206939,0.003093676,0.002305408,0.002709484,0.2481651],"category_scores_gemma":[0.005009058,0.0009726745,0.002056133,0.009476367,0.000390653,0.003193669,0.003191652,0.002000334,0.3167889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386852,"about_ca_system_score_gemma":0.002461082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440452,"about_ca_topic_score_gemma":0.03842109,"domain_scores_codex":[0.998968,0.0001138077,0.0001520102,0.0003564898,0.0002157312,0.0001940086],"domain_scores_gemma":[0.9977716,0.0006755831,0.0001848303,0.0005261374,0.0005243047,0.0003175429],"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":[0.00006580973,0.00002504272,0.0004626751,0.0007697765,0.00002054754,0.00003536942,0.00003300064,0.0001983643,0.0001521281,0.0003960211,0.9941345,0.003706936],"study_design_scores_gemma":[0.0001152192,0.00001975275,0.001922285,0.0002430152,0.00002634952,0.00008318383,0.0001131846,0.0005393131,0.000244646,0.001239696,0.9954209,0.00003241659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001006296,0.00008112519,0.0001133562,0.00005539585,0.00003259236,0.00001391284,0.9960753,0.001848905,0.001678612],"genre_scores_gemma":[0.0003011782,0.00008353229,0.0005850841,0.00009655803,0.00000943446,0.00005793866,0.997452,0.0003795176,0.001034642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7518349,"threshold_uncertainty_score":0.8301948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}