{"id":"W6906093711","doi":"10.15468/dl.wn6nom","title":"Occurrence Download","year":2017,"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; 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":[0.0009909879,0.00203875,0.001633555,0.005129819,0.001084443,0.00275975,0.003216865,0.002146911,0.1465893],"category_scores_gemma":[0.006238769,0.0008828857,0.001276205,0.009939155,0.0004790378,0.002491439,0.002797707,0.002138704,0.2227791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773847,"about_ca_system_score_gemma":0.002597718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423029,"about_ca_topic_score_gemma":0.03848428,"domain_scores_codex":[0.9989613,0.0001389194,0.0001255056,0.0003582385,0.0002334706,0.0001824956],"domain_scores_gemma":[0.9977142,0.0006375074,0.000204118,0.0005918071,0.0005886608,0.0002638673],"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":[0.00002720576,0.00001128996,0.0003774782,0.0005020839,0.00001456899,0.00001590413,0.00002438102,0.0001149627,0.0001063654,0.0003860775,0.9971054,0.001314311],"study_design_scores_gemma":[0.00007371508,0.000008430613,0.001826057,0.0002103447,0.0000155276,0.00004257912,0.00008695638,0.0001810658,0.0001958428,0.0008546599,0.9964867,0.00001820616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004641386,0.00003381788,0.00004850392,0.00004431876,0.00001416403,0.000005793359,0.9986902,0.0004412105,0.000675645],"genre_scores_gemma":[0.0001503494,0.00003467404,0.0001738261,0.00004373351,0.000003444424,0.00003830424,0.9989979,0.0001407527,0.0004169602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8534107,"threshold_uncertainty_score":0.4903901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}