{"id":"W6905911894","doi":"10.15468/dl.s4wccu","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":"Matching (statistics); Download; Range (aeronautics); Software","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":[0.0009055432,0.002065859,0.00160677,0.004969632,0.0009486728,0.002546539,0.00273853,0.001897572,0.1577009],"category_scores_gemma":[0.005416915,0.0009289595,0.00118705,0.009570896,0.000420511,0.0022956,0.002525977,0.001874266,0.2259633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465964,"about_ca_system_score_gemma":0.002244375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866114,"about_ca_topic_score_gemma":0.03266596,"domain_scores_codex":[0.9989507,0.0001442307,0.0001332846,0.000383751,0.0002146703,0.0001733223],"domain_scores_gemma":[0.9977264,0.0006005192,0.00022572,0.0005996419,0.0005779795,0.0002698157],"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":[0.00003489868,0.00001154891,0.000371791,0.0005582348,0.00001557059,0.00001356407,0.00001952954,0.0001137603,0.0001219647,0.0003574471,0.9969813,0.001400419],"study_design_scores_gemma":[0.00007666276,0.000009996673,0.001887164,0.0001846832,0.00001548003,0.00003618972,0.00005885651,0.0001389126,0.0001863538,0.0007794254,0.9966077,0.00001868143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004083779,0.00002834371,0.00003865062,0.00002980704,0.00001126064,0.000004774992,0.9989192,0.0003225079,0.0006044884],"genre_scores_gemma":[0.0001424348,0.00003379147,0.0001657422,0.00004472801,0.000003399767,0.00003646036,0.9989926,0.0001196869,0.0004609986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422991,"threshold_uncertainty_score":0.5275621,"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."}}