{"id":"W6962248147","doi":"10.15468/dl.p7knum","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); State (computer science); 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":[0.001125627,0.002000132,0.00164066,0.005366131,0.001027436,0.002793087,0.002937353,0.001973225,0.1801279],"category_scores_gemma":[0.00651657,0.00101541,0.001131033,0.01071951,0.000462934,0.002419029,0.002694251,0.002063051,0.2389884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597941,"about_ca_system_score_gemma":0.002440621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076614,"about_ca_topic_score_gemma":0.03359773,"domain_scores_codex":[0.9988639,0.0001499406,0.0001533341,0.0003936928,0.0002547163,0.0001843703],"domain_scores_gemma":[0.9973065,0.0007674528,0.0002572844,0.0007110647,0.0006460252,0.0003117255],"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":[0.00002779481,0.00001021338,0.000330624,0.0005177616,0.00001426792,0.00001455402,0.0000240423,0.000107749,0.0001117566,0.0003869305,0.997193,0.001261302],"study_design_scores_gemma":[0.00006964604,0.000007009478,0.001628104,0.0001845527,0.00001413146,0.00003601338,0.00007079424,0.0001240278,0.0001799313,0.0007386711,0.9969299,0.00001708746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000340237,0.00002175642,0.00004510689,0.00003098809,0.00001058101,0.00000493035,0.9988809,0.0003497609,0.0006219024],"genre_scores_gemma":[0.0001430041,0.00003049808,0.0001904184,0.00004121254,0.000003153317,0.00004057259,0.9989262,0.0001703787,0.0004545154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8198721,"threshold_uncertainty_score":0.6025878,"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."}}