{"id":"W6962561473","doi":"10.15468/dl.zs3naz","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":[0.001006803,0.001965347,0.001608632,0.00490949,0.001052206,0.002763584,0.002876693,0.002147321,0.1716479],"category_scores_gemma":[0.00626483,0.0009402847,0.001270501,0.009477737,0.0004369062,0.002488418,0.002598412,0.002093458,0.2417802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645489,"about_ca_system_score_gemma":0.002349643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050685,"about_ca_topic_score_gemma":0.03272511,"domain_scores_codex":[0.9989618,0.0001462276,0.0001278286,0.0003703314,0.0002238557,0.0001700202],"domain_scores_gemma":[0.9975855,0.0007200965,0.0002124836,0.0006179843,0.0005974898,0.0002664289],"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":[0.00002710543,0.00001120756,0.0003499951,0.0005496417,0.00001426781,0.00001452285,0.00002155753,0.0001166517,0.000109557,0.0003653974,0.9970139,0.001406146],"study_design_scores_gemma":[0.00006919268,0.000008447306,0.001707831,0.0002062391,0.00001447141,0.00003545017,0.00007107727,0.0001544819,0.0001827391,0.0007920918,0.9967406,0.00001736793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003770729,0.00002958776,0.0000435053,0.00003990839,0.00001299268,0.000005713792,0.9988081,0.0003752398,0.0006472198],"genre_scores_gemma":[0.0001489633,0.00003806758,0.0001940844,0.0000519779,0.000003859568,0.00004712222,0.9988524,0.0001546805,0.0005088832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8283521,"threshold_uncertainty_score":0.5742195,"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."}}