{"id":"W6943589863","doi":"10.15468/dl.qio8qw","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); Order (exchange); Data set","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":[0.0009698643,0.001865482,0.001558368,0.005712762,0.0009371132,0.002511756,0.002794843,0.001811864,0.1483618],"category_scores_gemma":[0.006008771,0.000854436,0.001173523,0.01085074,0.0004186488,0.002209881,0.002762685,0.001958887,0.2225973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668399,"about_ca_system_score_gemma":0.002931127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02608869,"about_ca_topic_score_gemma":0.04700871,"domain_scores_codex":[0.9988418,0.0001405557,0.0001454433,0.000394387,0.0002785369,0.0001993471],"domain_scores_gemma":[0.9972724,0.0006181981,0.0002655786,0.0007570863,0.000739983,0.000346773],"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":[0.0000294022,0.000009655301,0.0003870542,0.0005290214,0.00001616071,0.00001310776,0.00002213935,0.0001121766,0.0001283612,0.0003663284,0.9968329,0.001553759],"study_design_scores_gemma":[0.00005789982,0.000007184056,0.001903007,0.0001741384,0.00001352062,0.00003221965,0.00006051985,0.0001156581,0.0001846277,0.000642336,0.9967929,0.00001601338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003987001,0.00002825703,0.00004035437,0.00003009374,0.00001099655,0.000005128726,0.9988386,0.000386035,0.0006206337],"genre_scores_gemma":[0.0001492324,0.00003397738,0.0001812027,0.000036363,0.000003322118,0.0000330143,0.9989881,0.0001312151,0.0004434587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516382,"threshold_uncertainty_score":0.4963197,"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."}}