{"id":"W6905604828","doi":"10.15468/dl.nbw45n","title":"Occurrence Download","year":2023,"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); Order (exchange); 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":[0.0009553477,0.00198444,0.001599323,0.004796011,0.0009638824,0.002421008,0.002757932,0.002081713,0.1453217],"category_scores_gemma":[0.005460608,0.0009241698,0.001225612,0.009712727,0.0004584105,0.002151331,0.002545814,0.002011086,0.2041681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619437,"about_ca_system_score_gemma":0.002286864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0225668,"about_ca_topic_score_gemma":0.03677457,"domain_scores_codex":[0.9990458,0.0001257216,0.0001224967,0.0003280296,0.0002156858,0.0001622572],"domain_scores_gemma":[0.9978364,0.0006068762,0.0002100695,0.0005805517,0.000515116,0.0002510283],"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":[0.0000309883,0.00001239081,0.0004287375,0.0006093247,0.00001759425,0.00001739311,0.00003059787,0.0001547542,0.0001513449,0.0004247772,0.9965099,0.001612158],"study_design_scores_gemma":[0.00007035807,0.000007744441,0.001911002,0.0001966697,0.00001491908,0.00003838117,0.00007803735,0.0001591388,0.0001959983,0.0007057188,0.9966046,0.00001743909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004642549,0.00002797545,0.00004726712,0.00003357365,0.0000115311,0.000005221872,0.9988356,0.0003932998,0.0005991016],"genre_scores_gemma":[0.0001656603,0.00003328332,0.0002152156,0.00003988304,0.000003013444,0.00004240466,0.9989479,0.0001509496,0.0004017972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546783,"threshold_uncertainty_score":0.4861496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}