{"id":"W6962111498","doi":"10.15468/dl.sczf22","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":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.0009423277,0.001942211,0.001550754,0.004809371,0.0009765946,0.002566001,0.0027254,0.002129837,0.1619739],"category_scores_gemma":[0.005947352,0.0008849899,0.001233374,0.008783787,0.0004409994,0.002243667,0.002481919,0.001937711,0.2247167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571495,"about_ca_system_score_gemma":0.002278155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232333,"about_ca_topic_score_gemma":0.03494469,"domain_scores_codex":[0.9990562,0.0001296371,0.0001150081,0.0003333377,0.0002078872,0.0001578351],"domain_scores_gemma":[0.9976436,0.0007292198,0.0002042897,0.0005868024,0.0005723755,0.0002636162],"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":[0.00002634142,0.0000117044,0.0003895312,0.0005503595,0.00001424052,0.00001574036,0.00002247129,0.00012403,0.0001141237,0.0003253754,0.9970041,0.001402035],"study_design_scores_gemma":[0.00007664874,0.000009738941,0.002013473,0.0002225972,0.00001574623,0.00004015611,0.0000816873,0.0001852998,0.0001977535,0.0007564437,0.9963818,0.00001857511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004446109,0.00002914617,0.00004177864,0.00004001843,0.00001316506,0.000005881147,0.9988266,0.000388999,0.0006100159],"genre_scores_gemma":[0.0001791802,0.00003604192,0.0002006576,0.00005316206,0.000004126632,0.00004972016,0.9988254,0.0001538219,0.0004979044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838026,"threshold_uncertainty_score":0.5418568,"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."}}