{"id":"W6905571397","doi":"10.15468/dl.988cqx","title":"Occurrence Download","year":2025,"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); 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":[0.0009498292,0.001973141,0.001610912,0.005413114,0.0009428832,0.002519244,0.00277551,0.001989189,0.1513291],"category_scores_gemma":[0.005472315,0.0009022872,0.00119318,0.009951643,0.0004354662,0.002217203,0.00260287,0.001863544,0.2122663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475997,"about_ca_system_score_gemma":0.002210829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807843,"about_ca_topic_score_gemma":0.03023023,"domain_scores_codex":[0.9989439,0.0001435702,0.0001395762,0.0003605359,0.0002341815,0.0001782101],"domain_scores_gemma":[0.9977455,0.0006025365,0.0002203207,0.0006111889,0.0005461984,0.0002743306],"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":[0.00003738859,0.00001259841,0.0004154101,0.0006895212,0.00001977571,0.0000179604,0.00002548214,0.0001320686,0.0001761754,0.000410601,0.996305,0.001757916],"study_design_scores_gemma":[0.00007327017,0.000009026316,0.00200949,0.0001976294,0.00001643774,0.00004114967,0.0000666847,0.0001374681,0.0002247211,0.0007137711,0.9964926,0.00001780126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004837304,0.00003361797,0.00004471224,0.00003309519,0.00001114823,0.000005411314,0.9987909,0.0004060005,0.0006266707],"genre_scores_gemma":[0.0001618701,0.00003544029,0.0001752601,0.00004213132,0.000003175349,0.00003663523,0.9990205,0.0001303602,0.0003945825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486709,"threshold_uncertainty_score":0.5062462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}