{"id":"W6905927301","doi":"10.15468/dl.qq9uhf","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); 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":[0.0009438742,0.002011371,0.001582754,0.004608419,0.0009587261,0.002320609,0.002822387,0.002030425,0.1374415],"category_scores_gemma":[0.005291283,0.0009335721,0.0011909,0.009264324,0.0004537401,0.002092522,0.002460861,0.002037293,0.1959657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589797,"about_ca_system_score_gemma":0.002247355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147509,"about_ca_topic_score_gemma":0.03461193,"domain_scores_codex":[0.9990959,0.0001183407,0.0001174989,0.0003109624,0.0002040014,0.000153212],"domain_scores_gemma":[0.9979563,0.0005616473,0.0001906809,0.0005600809,0.0004890265,0.0002422076],"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":[0.00003269064,0.0000125812,0.0004053976,0.000589641,0.00001710403,0.000016935,0.00002814806,0.0001538776,0.0001638028,0.0004205531,0.9965869,0.001572409],"study_design_scores_gemma":[0.00007866036,0.000008566514,0.001976534,0.0001880058,0.00001576624,0.00004087132,0.00007630337,0.0001733188,0.0002195615,0.0007345771,0.9964697,0.00001816022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005025878,0.00002851274,0.00005142321,0.00003472226,0.00001264659,0.000005549821,0.9987751,0.0004451951,0.0005966212],"genre_scores_gemma":[0.0001660691,0.00003185165,0.0002092055,0.00003891597,0.000002971026,0.00003912033,0.9989919,0.0001511673,0.0003687077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8625585,"threshold_uncertainty_score":0.4597875,"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."}}