{"id":"W6905884537","doi":"10.15468/dl.t0l8ue","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; Set (abstract data type)","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":[0.0009031805,0.00218954,0.001712064,0.005586534,0.001077161,0.002917689,0.003103523,0.002305205,0.1632578],"category_scores_gemma":[0.006438944,0.0009726894,0.001378871,0.01132141,0.0004454657,0.002748036,0.002789628,0.002107456,0.2448795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807107,"about_ca_system_score_gemma":0.002567382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234418,"about_ca_topic_score_gemma":0.03682124,"domain_scores_codex":[0.9988468,0.0001442847,0.000153068,0.0003944711,0.0002658733,0.0001954578],"domain_scores_gemma":[0.9975749,0.0006288044,0.0002197417,0.0006452369,0.0006602265,0.0002710432],"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":[0.00002921406,0.00001080681,0.0003968703,0.0005366502,0.00001539513,0.00001677888,0.0000224401,0.0001334225,0.0001048736,0.0003674775,0.9966445,0.001721661],"study_design_scores_gemma":[0.00006921337,0.000007844327,0.001617782,0.0001999957,0.00001410956,0.00004472439,0.00007198171,0.0001795582,0.0001736218,0.0007400026,0.9968638,0.00001729694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004769253,0.00004166511,0.00005273773,0.00004457102,0.00001455521,0.00000548273,0.9984767,0.0005438432,0.0007726814],"genre_scores_gemma":[0.0001579086,0.00004123187,0.0001961216,0.00004560128,0.000003714986,0.00003451692,0.9988717,0.0001532754,0.0004958595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367422,"threshold_uncertainty_score":0.5461518,"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."}}