{"id":"W6924434379","doi":"10.15468/dl.kbc4vf","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); Identification (biology); Range (aeronautics); The Internet","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":[0.001082492,0.001925953,0.001683814,0.005233703,0.0009815898,0.002713446,0.002903005,0.002051572,0.1730997],"category_scores_gemma":[0.006626354,0.0009748742,0.001180945,0.01065536,0.0004438558,0.002437783,0.002637088,0.002003646,0.2399882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603091,"about_ca_system_score_gemma":0.002358654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201123,"about_ca_topic_score_gemma":0.03408189,"domain_scores_codex":[0.9988908,0.000148224,0.0001567884,0.0003771692,0.0002521121,0.0001748629],"domain_scores_gemma":[0.9972168,0.0007776993,0.0002606308,0.0007172435,0.0007241923,0.0003034011],"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":[0.00002706215,0.00001043962,0.0003468418,0.0005419726,0.00001462206,0.00001332408,0.00002254908,0.0001156699,0.0001051283,0.0003713146,0.9969982,0.001432906],"study_design_scores_gemma":[0.00006565121,0.00000715948,0.001646782,0.0002006989,0.00001409313,0.00003303194,0.00006893441,0.0001299696,0.0001733942,0.0007541214,0.9968897,0.00001661444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003157318,0.00002314078,0.00004169096,0.00002965031,0.00001028584,0.000004639685,0.9989923,0.0003044966,0.0005622794],"genre_scores_gemma":[0.0001336509,0.00003283224,0.0001929207,0.00003941548,0.000003090273,0.00003944816,0.9989914,0.0001400736,0.0004271447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269002,"threshold_uncertainty_score":0.5790763,"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."}}