{"id":"W6905875317","doi":"10.15468/dl.rsmafr","title":"Occurrence Download","year":2021,"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); Order (exchange); Column (typography)","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":[0.000958059,0.001873193,0.001643407,0.005285514,0.0009640909,0.002607926,0.002769341,0.001975267,0.163424],"category_scores_gemma":[0.005931345,0.0009001515,0.001161801,0.01075304,0.0004410094,0.002361332,0.002538055,0.001953455,0.2334181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546223,"about_ca_system_score_gemma":0.002274138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064313,"about_ca_topic_score_gemma":0.03520254,"domain_scores_codex":[0.9989492,0.0001414848,0.0001305836,0.0003720504,0.0002324492,0.0001741567],"domain_scores_gemma":[0.9974405,0.0007112203,0.0002366659,0.0006684939,0.0006613405,0.0002819011],"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":[0.00002634839,0.00000987844,0.0003765543,0.0005657257,0.00001547256,0.00001379391,0.00002229904,0.0001352347,0.0001101076,0.0003839445,0.9968238,0.001516709],"study_design_scores_gemma":[0.00006201938,0.000007717467,0.00170966,0.0001949018,0.00001436952,0.00003264914,0.00007124553,0.0001459594,0.000167951,0.0008053444,0.9967713,0.00001689704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003648289,0.00002861535,0.00004357524,0.00003096682,0.00001130773,0.00000472001,0.9989009,0.0003446329,0.0005987831],"genre_scores_gemma":[0.0001513693,0.00003588064,0.0001923807,0.00004052446,0.000003395244,0.00003679274,0.9989296,0.0001450805,0.000464883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836576,"threshold_uncertainty_score":0.5467076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}