{"id":"W6905852946","doi":"10.15468/dl.q9te6x","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); Data set; 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":[0.001084997,0.001954352,0.001609658,0.005184723,0.001030573,0.00274842,0.002892074,0.002021942,0.1708805],"category_scores_gemma":[0.006300733,0.0009643426,0.001143289,0.01004311,0.0004518123,0.002388861,0.002576444,0.00201067,0.2353003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654586,"about_ca_system_score_gemma":0.00242266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291777,"about_ca_topic_score_gemma":0.03739753,"domain_scores_codex":[0.9988865,0.0001509432,0.0001430522,0.0003894563,0.0002503701,0.000179643],"domain_scores_gemma":[0.9973987,0.0007620601,0.0002426987,0.0006673785,0.0006369537,0.0002922066],"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":[0.00002631396,0.00001002439,0.0003407605,0.0004826418,0.00001372486,0.00001438392,0.00002245626,0.0001103149,0.000102802,0.0003844862,0.9972643,0.001227828],"study_design_scores_gemma":[0.00006730833,0.000007150563,0.001755249,0.0001881675,0.00001395858,0.00003719127,0.00007531573,0.0001440036,0.0001773381,0.0007950251,0.9967216,0.00001776833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003381989,0.0000217934,0.00004129237,0.00003209221,0.00001049947,0.000004392159,0.998938,0.0003246634,0.0005933388],"genre_scores_gemma":[0.000141618,0.0000295063,0.0001797351,0.00004096138,0.00000317621,0.00003770248,0.9989731,0.0001481534,0.0004460916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8291195,"threshold_uncertainty_score":0.5716523,"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."}}