{"id":"W6943389725","doi":"10.15468/dl.ojraor","title":"Occurrence Download","year":2016,"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); Herbarium; Set (abstract data type)","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":[0.001011683,0.002168338,0.001734442,0.005626847,0.0008801939,0.002585301,0.003024841,0.002101994,0.1347958],"category_scores_gemma":[0.006177209,0.000895949,0.00123594,0.01051191,0.000427271,0.002397584,0.002766902,0.001986356,0.2009922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604999,"about_ca_system_score_gemma":0.002397345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984882,"about_ca_topic_score_gemma":0.03227862,"domain_scores_codex":[0.9988814,0.0001431855,0.0001501209,0.0003988027,0.0002482859,0.0001782309],"domain_scores_gemma":[0.9973965,0.0006910301,0.0002713615,0.0006893884,0.0006301106,0.0003216694],"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":[0.0000334797,0.00001172836,0.0004242667,0.0005984431,0.00001871563,0.00001703173,0.00002268106,0.0001477941,0.0001258588,0.0003821522,0.9967133,0.001504508],"study_design_scores_gemma":[0.00008050193,0.000009351947,0.002081142,0.0002098596,0.00001698791,0.00004298164,0.00006646045,0.0001770751,0.0002145752,0.0008202334,0.9962617,0.00001905319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004147678,0.00003010639,0.00004110599,0.00003286645,0.00001082622,0.000004858336,0.9989411,0.0003823439,0.0005154227],"genre_scores_gemma":[0.0001517177,0.00003359106,0.0001633471,0.0000380866,0.000003278982,0.0000327718,0.9991019,0.0001181248,0.0003573157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8652042,"threshold_uncertainty_score":0.4509367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}