{"id":"W6887177921","doi":"10.15468/dl.uxtr9j","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.001079438,0.00203668,0.001709857,0.005078088,0.001028612,0.002721247,0.002932529,0.002207293,0.1679667],"category_scores_gemma":[0.006701663,0.0009547895,0.001236806,0.009814659,0.0004669593,0.002516702,0.002680871,0.002122197,0.2319311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156099,"about_ca_system_score_gemma":0.002454148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999226,"about_ca_topic_score_gemma":0.03489199,"domain_scores_codex":[0.9988457,0.0001699129,0.0001483656,0.000414639,0.0002397896,0.0001815342],"domain_scores_gemma":[0.997122,0.0008483897,0.0002592961,0.0007664938,0.0006824955,0.0003213669],"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":[0.00003014232,0.00001149134,0.0003480471,0.0005688117,0.00001535919,0.00001468941,0.00002192522,0.0001178302,0.0001070139,0.0003653543,0.9971354,0.001263965],"study_design_scores_gemma":[0.00007736981,0.00000842317,0.001632739,0.0001985725,0.00001475293,0.00003436623,0.00006569285,0.0001388681,0.0001740066,0.0008542833,0.9967822,0.00001858252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003528854,0.00002604455,0.00004136381,0.00003532367,0.0000111998,0.000005278112,0.9988926,0.0003651603,0.0005878658],"genre_scores_gemma":[0.0001548713,0.00003377464,0.000194829,0.00004960443,0.000003590061,0.00004370455,0.9988933,0.0001599498,0.0004664337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320333,"threshold_uncertainty_score":0.5619044,"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."}}