{"id":"W6905977231","doi":"10.15468/dl.se4ayy","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":"Download; Matching (statistics); Range (aeronautics); Data set; Order (exchange)","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":[0.001044232,0.002002219,0.001693094,0.005224116,0.0009636856,0.002625709,0.003119354,0.002116899,0.1369344],"category_scores_gemma":[0.006072823,0.0008833286,0.001184397,0.0103324,0.0004435109,0.002451151,0.002648737,0.002088696,0.1997523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570793,"about_ca_system_score_gemma":0.002415412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955819,"about_ca_topic_score_gemma":0.03387786,"domain_scores_codex":[0.9989072,0.0001477221,0.0001451755,0.0003768463,0.000244117,0.0001789184],"domain_scores_gemma":[0.9975677,0.0006495347,0.0002517104,0.000647358,0.0005904479,0.0002932553],"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":[0.00002978263,0.00001260805,0.0004253942,0.0005626256,0.00001712473,0.00001654691,0.00002501222,0.0001276571,0.0001205836,0.0004084267,0.9968529,0.001401382],"study_design_scores_gemma":[0.000073574,0.000008005656,0.00196636,0.0001975019,0.00001512542,0.00004009097,0.00007131493,0.0001443408,0.0001902379,0.0007896979,0.9964861,0.00001772792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004690994,0.00003097337,0.00004460704,0.00003463854,0.00001166936,0.000005210108,0.9988338,0.000347385,0.0006448004],"genre_scores_gemma":[0.000150676,0.00003224524,0.0001725441,0.00003729325,0.000003117211,0.00003660819,0.9990507,0.0001139034,0.0004028117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8630656,"threshold_uncertainty_score":0.4580912,"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."}}