{"id":"W6887321448","doi":"10.15468/dl.yebh8d","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Limit (mathematics)","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":[0.0009084127,0.001970744,0.001569578,0.005124881,0.0009235264,0.002551797,0.002651097,0.001942163,0.162249],"category_scores_gemma":[0.00573615,0.0009079215,0.001115513,0.0101483,0.000408922,0.002277683,0.002432387,0.001809818,0.2143949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541251,"about_ca_system_score_gemma":0.002238209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197089,"about_ca_topic_score_gemma":0.03333909,"domain_scores_codex":[0.998968,0.0001396784,0.0001392836,0.0003661345,0.0002128582,0.0001740887],"domain_scores_gemma":[0.9976618,0.0006564347,0.0002403765,0.000572606,0.0006009163,0.0002678534],"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":[0.00003430356,0.00001130707,0.0004097168,0.0006239109,0.00001548175,0.00001466238,0.00002107751,0.0001303589,0.0001203689,0.0003956945,0.9967084,0.001514738],"study_design_scores_gemma":[0.00007417582,0.000009185169,0.001863608,0.0002099996,0.00001469618,0.00003373225,0.00006148507,0.0001392992,0.0001776469,0.0008014394,0.9965965,0.00001831395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003741453,0.00002587108,0.00003415692,0.00002891257,0.000009837015,0.000004408323,0.9990103,0.0002639912,0.0005849907],"genre_scores_gemma":[0.0001553343,0.00003657028,0.0001776767,0.00004581231,0.000003437297,0.00003934142,0.9989197,0.0001207447,0.0005013818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837751,"threshold_uncertainty_score":0.5427771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}