{"id":"W6962457227","doi":"10.15468/dl.rqcer9","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); Range (aeronautics); Order (exchange); Column (typography)","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":[0.001083779,0.001871728,0.001647262,0.0051307,0.0009990204,0.002627913,0.00290263,0.001936947,0.1908177],"category_scores_gemma":[0.006600281,0.0009469367,0.001151634,0.01021212,0.0004543519,0.002242659,0.002663982,0.001928486,0.2429625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592335,"about_ca_system_score_gemma":0.002619501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409399,"about_ca_topic_score_gemma":0.04013469,"domain_scores_codex":[0.9989613,0.0001381878,0.0001384637,0.0003641384,0.0002268915,0.0001710237],"domain_scores_gemma":[0.9973333,0.0007891816,0.0002496625,0.0006639526,0.0006708069,0.0002931269],"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":[0.00002633868,0.000009612754,0.0003548917,0.0005843776,0.00001589769,0.00001471021,0.00002560345,0.0001115495,0.0001143843,0.0004106264,0.9969567,0.001375369],"study_design_scores_gemma":[0.00006284648,0.000006563459,0.001662902,0.0001997518,0.00001521261,0.00003320905,0.00006957553,0.0001104636,0.0001831692,0.0007494384,0.9968899,0.00001707857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002946455,0.00002068864,0.00003908634,0.00002774829,0.000009263823,0.000004443966,0.9989962,0.0002956246,0.000577513],"genre_scores_gemma":[0.0001439374,0.00003038505,0.0001863072,0.00004069302,0.000003052744,0.0000406367,0.998943,0.0001522395,0.0004596373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8091823,"threshold_uncertainty_score":0.6383488,"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."}}