{"id":"W6906227414","doi":"10.15468/dl.tlhoya","title":"Occurrence Download","year":2016,"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); Centaurea","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":[0.001034357,0.002075601,0.001669266,0.005200709,0.0009885668,0.002610926,0.003150208,0.002229999,0.1306508],"category_scores_gemma":[0.006112391,0.0008936193,0.001220212,0.01004525,0.0004606586,0.00243788,0.002693887,0.002160671,0.190455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703412,"about_ca_system_score_gemma":0.002568059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251864,"about_ca_topic_score_gemma":0.03927242,"domain_scores_codex":[0.9988488,0.0001555885,0.0001524754,0.0003974113,0.000260797,0.0001848566],"domain_scores_gemma":[0.9973649,0.0006904664,0.0002629506,0.0007394872,0.0006347728,0.0003073248],"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":[0.0000306088,0.00001256031,0.0004055675,0.0005358952,0.0000167399,0.00001694565,0.00002386525,0.0001361918,0.0001222343,0.0004153797,0.9969457,0.001338199],"study_design_scores_gemma":[0.00007855371,0.000008492268,0.001974943,0.0001913216,0.00001541803,0.00004452419,0.00006758315,0.0001653901,0.000209439,0.000837818,0.9963874,0.00001921791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004518194,0.00002920693,0.00004509736,0.00003643749,0.00001127082,0.000005325692,0.9988594,0.000383929,0.0005842079],"genre_scores_gemma":[0.0001463275,0.0000297483,0.0001712491,0.00003812108,0.000002870125,0.00003486476,0.9990987,0.0001115042,0.0003666143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8693492,"threshold_uncertainty_score":0.4370706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}