{"id":"W6943435997","doi":"10.15468/dl.krdwmy","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); Confidentiality; Set (abstract data type); Data set","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":[0.001149115,0.001909288,0.001680197,0.005220334,0.00106357,0.002824042,0.002997297,0.002019136,0.181792],"category_scores_gemma":[0.006881901,0.0009852297,0.001168058,0.01091351,0.0004633216,0.002471736,0.002706941,0.00207313,0.2436274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156487,"about_ca_system_score_gemma":0.002466738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011365,"about_ca_topic_score_gemma":0.03348039,"domain_scores_codex":[0.9988365,0.0001581481,0.0001548027,0.0003996364,0.0002625527,0.0001884438],"domain_scores_gemma":[0.9971886,0.0008174407,0.0002543735,0.0007330782,0.0006982628,0.0003081473],"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":[0.00002676429,0.000009904829,0.0003244525,0.000524863,0.00001389222,0.0000136117,0.00002309855,0.0001037321,0.0001088554,0.0003904066,0.9971312,0.001329161],"study_design_scores_gemma":[0.000062586,0.00000656063,0.001507893,0.0001860127,0.00001306837,0.00003230912,0.00006881244,0.000114864,0.0001721618,0.0007621992,0.9970571,0.00001649065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003354699,0.00002389611,0.00004614405,0.00003298405,0.00001129631,0.000004944988,0.9988471,0.0003517279,0.0006482242],"genre_scores_gemma":[0.0001433083,0.00003290521,0.0001980517,0.00004264982,0.000003332398,0.00004202276,0.9988944,0.0001697025,0.0004736887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.818208,"threshold_uncertainty_score":0.6081549,"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."}}