{"id":"W6962330548","doi":"10.15468/dl.yy4orl","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008840128,0.002152702,0.001635908,0.00514446,0.0008882077,0.002565344,0.00288141,0.001894487,0.1358747],"category_scores_gemma":[0.005783566,0.0009065092,0.001217516,0.01063741,0.0004156208,0.002293007,0.002634441,0.001864466,0.1994985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615585,"about_ca_system_score_gemma":0.002491094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407758,"about_ca_topic_score_gemma":0.04027019,"domain_scores_codex":[0.998934,0.000138666,0.0001422626,0.0003731364,0.0002365219,0.0001754003],"domain_scores_gemma":[0.9977083,0.0005923508,0.0002523497,0.0005957971,0.000580542,0.0002706301],"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":[0.00003245637,0.00001017564,0.0004517617,0.0005511651,0.00001722836,0.00001480329,0.00002225187,0.0001330885,0.0001137331,0.00041594,0.9968195,0.001417888],"study_design_scores_gemma":[0.0000708982,0.000008432881,0.001931794,0.0001847918,0.00001611788,0.0000381485,0.00005720753,0.0001466514,0.0001902139,0.0007984065,0.996539,0.0000182735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004259785,0.00003080422,0.00003911131,0.00003056301,0.00001073922,0.000004098195,0.9988987,0.0003533409,0.0005900686],"genre_scores_gemma":[0.0001504512,0.00003752577,0.0001582968,0.00003963455,0.000003108384,0.00003181459,0.9989882,0.0001271721,0.0004638454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8641253,"threshold_uncertainty_score":0.4545462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}