{"id":"W6905710980","doi":"10.15468/dl.kb3ujh","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); 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":[0.001196414,0.00202435,0.001716576,0.005255021,0.001114942,0.002838031,0.003090692,0.002107217,0.1766697],"category_scores_gemma":[0.006935761,0.001008439,0.001189449,0.01055892,0.0004823568,0.002466311,0.00272532,0.002175255,0.2407139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724468,"about_ca_system_score_gemma":0.002607558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372422,"about_ca_topic_score_gemma":0.03829635,"domain_scores_codex":[0.9988204,0.0001609189,0.0001549816,0.0004057117,0.0002692097,0.0001887788],"domain_scores_gemma":[0.9971433,0.0008214954,0.0002614672,0.0007367876,0.0007283615,0.0003085948],"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":[0.0000269638,0.00001038012,0.0003289107,0.0005378289,0.00001483553,0.00001447874,0.00002563508,0.0001117307,0.0001145559,0.0004281841,0.9971001,0.001286383],"study_design_scores_gemma":[0.00006244743,0.000006289332,0.001483274,0.0001820279,0.00001359974,0.00003215644,0.00006772595,0.0001189351,0.0001744267,0.0007793099,0.9970626,0.00001723722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003168245,0.00002314424,0.00004871163,0.00003268115,0.00001078292,0.00000494964,0.9988214,0.0003636264,0.0006629796],"genre_scores_gemma":[0.0001359116,0.00003194324,0.0002033014,0.00004249412,0.000003016822,0.00004299212,0.9988993,0.0001762926,0.0004647105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233303,"threshold_uncertainty_score":0.591019,"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."}}