{"id":"W6886984694","doi":"10.15468/dl.nngkpd","title":"Occurrence Download","year":2022,"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); Alien; State (computer science)","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":[0.0009659624,0.001912327,0.001512099,0.004858206,0.001042095,0.002721719,0.002827805,0.002097668,0.1774548],"category_scores_gemma":[0.006321064,0.0009264008,0.001235221,0.009054404,0.0004413741,0.002596355,0.002639773,0.002080352,0.2411278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161058,"about_ca_system_score_gemma":0.002335505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193431,"about_ca_topic_score_gemma":0.03571868,"domain_scores_codex":[0.9989783,0.0001434231,0.0001221308,0.0003667905,0.0002222152,0.0001671267],"domain_scores_gemma":[0.9974745,0.0007320538,0.0002124802,0.0006776447,0.0006263935,0.000276886],"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":[0.00002531008,0.00001058688,0.0003360232,0.0004762365,0.00001235722,0.00001339512,0.00002116122,0.0001086254,0.00009419111,0.0003548762,0.9971772,0.001370044],"study_design_scores_gemma":[0.00006517779,0.000007837743,0.00163338,0.0001876182,0.00001276878,0.00003391151,0.00007447564,0.0001494414,0.0001676981,0.0008157335,0.9968348,0.00001715441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961509,0.00002696436,0.00004698086,0.00004352729,0.00001389979,0.000006030843,0.9987035,0.0004121891,0.000707208],"genre_scores_gemma":[0.000159234,0.00003623323,0.0002157391,0.00005413161,0.000004016462,0.00004811825,0.9987456,0.0001686393,0.0005682198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225452,"threshold_uncertainty_score":0.5936456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}