{"id":"W6943657374","doi":"10.15468/dl.q3ktwe","title":"Occurrence Download","year":2021,"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); Listing (finance); Range (aeronautics); Confidentiality","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":[0.00102211,0.001978811,0.001588311,0.00505361,0.0009724749,0.002437254,0.002841112,0.001961596,0.1786668],"category_scores_gemma":[0.00675333,0.0009971154,0.001209196,0.009408274,0.0004572523,0.002295469,0.002699859,0.002054574,0.2192595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746375,"about_ca_system_score_gemma":0.002527612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02513146,"about_ca_topic_score_gemma":0.03876653,"domain_scores_codex":[0.9990352,0.0001192841,0.0001243038,0.000321102,0.0002304273,0.0001696304],"domain_scores_gemma":[0.9971624,0.0008163581,0.0002545328,0.0007646372,0.0006876352,0.0003143582],"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":[0.0000275172,0.00001068498,0.0003579192,0.0004563596,0.00001207158,0.00001376692,0.0000209567,0.0001197398,0.00008843248,0.0003252913,0.9971858,0.001381495],"study_design_scores_gemma":[0.00008182602,0.000008642503,0.002123936,0.0002096967,0.00001377196,0.00003550919,0.00007235162,0.000181751,0.0001976889,0.0007246266,0.9963334,0.00001693239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003152787,0.00001551077,0.00003426955,0.00002956255,0.00000911652,0.000005275362,0.9989979,0.0003623311,0.0005145964],"genre_scores_gemma":[0.0001456317,0.00002562999,0.0001864254,0.00003806941,0.000002950574,0.00004540141,0.9989556,0.0001504705,0.000449825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213332,"threshold_uncertainty_score":0.5976999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}