{"id":"W6924459247","doi":"10.15468/dl.oblwpt","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":[0.001016837,0.002034072,0.001659236,0.005442647,0.0009761099,0.002740759,0.002974222,0.002023645,0.1480435],"category_scores_gemma":[0.006015909,0.0009335348,0.001215405,0.01116192,0.0004458582,0.002493873,0.00281642,0.00209447,0.2188918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640955,"about_ca_system_score_gemma":0.002542951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379537,"about_ca_topic_score_gemma":0.04003914,"domain_scores_codex":[0.9988657,0.00014833,0.0001486417,0.000387998,0.0002632584,0.0001860721],"domain_scores_gemma":[0.9974661,0.0006602946,0.0002557392,0.0006873095,0.0006202867,0.0003101412],"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":[0.00002589403,0.00001031938,0.0003864892,0.0004751702,0.00001456039,0.00001473534,0.00002425074,0.0001158039,0.00009951644,0.0004004694,0.997095,0.001337712],"study_design_scores_gemma":[0.00006139402,0.000006804683,0.001790152,0.0001807597,0.00001340886,0.00003744201,0.00006987093,0.0001387976,0.0001711256,0.0007543355,0.9967592,0.00001665326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004275184,0.0000276208,0.00004683251,0.0000340156,0.00001156484,0.000004769,0.9988185,0.0003803673,0.0006336049],"genre_scores_gemma":[0.0001419329,0.00003241638,0.0001689705,0.00003683849,0.000003001523,0.00003416289,0.9989943,0.0001352558,0.0004531229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8519565,"threshold_uncertainty_score":0.4952547,"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."}}