{"id":"W6905680467","doi":"10.15468/dl.ks8wci","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008894319,0.002168159,0.001658211,0.005306245,0.0009012467,0.002660743,0.002963694,0.001880116,0.1452924],"category_scores_gemma":[0.006018964,0.0009348419,0.001219144,0.01112647,0.0004220247,0.002407859,0.00269883,0.001914034,0.2136954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665157,"about_ca_system_score_gemma":0.002520192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02447565,"about_ca_topic_score_gemma":0.04033007,"domain_scores_codex":[0.9988831,0.0001434216,0.0001487502,0.0003855952,0.0002550396,0.0001841459],"domain_scores_gemma":[0.9975826,0.0006126279,0.0002662659,0.0006303646,0.0006188013,0.0002894219],"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":[0.00002919288,0.000009497828,0.0003878421,0.0004927883,0.00001536087,0.00001373412,0.0000201784,0.0001219182,0.00009535715,0.000404061,0.9970186,0.001391551],"study_design_scores_gemma":[0.00006526623,0.000007566307,0.001716501,0.0001770333,0.00001431126,0.00003631682,0.00005371271,0.0001358685,0.0001736533,0.0007706303,0.996832,0.00001713984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004017045,0.00003098444,0.00003968209,0.00003204311,0.00001114052,0.000004115427,0.9988587,0.0003498741,0.0006333604],"genre_scores_gemma":[0.0001410739,0.00003846605,0.0001569538,0.0000395748,0.000003255528,0.00003117296,0.9989618,0.0001294356,0.0004982626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547076,"threshold_uncertainty_score":0.4860516,"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."}}