{"id":"W6905992276","doi":"10.15468/dl.ue9m4a","title":"Occurrence Download","year":2024,"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; Set (abstract data type)","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":[0.0009148075,0.001716392,0.001430858,0.005213202,0.0009057835,0.002464221,0.002601587,0.001772489,0.1832455],"category_scores_gemma":[0.005809314,0.0008558423,0.001100704,0.0102804,0.0004150852,0.002169386,0.002545101,0.001737981,0.2239149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153803,"about_ca_system_score_gemma":0.002471919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02435211,"about_ca_topic_score_gemma":0.04022433,"domain_scores_codex":[0.9990011,0.0001331997,0.000131964,0.0003249453,0.0002301675,0.0001786152],"domain_scores_gemma":[0.9975832,0.0006379077,0.0002319348,0.0006208792,0.0006386689,0.0002873928],"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":[0.00003121884,0.00001001258,0.000399741,0.0005278572,0.00001489921,0.00001423282,0.00002218725,0.0001198554,0.0001184414,0.0003869283,0.9967752,0.001579331],"study_design_scores_gemma":[0.00006144525,0.00000683405,0.00183369,0.0001783427,0.00001306838,0.00003119059,0.00006359495,0.0001135187,0.0001778656,0.0006940132,0.9968111,0.0000153394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000377844,0.0000228419,0.00003669528,0.00003047468,0.000009503651,0.000004540301,0.9988732,0.0003162907,0.0006686855],"genre_scores_gemma":[0.0001617523,0.0000323703,0.0001688388,0.00004275492,0.000003216086,0.00003557346,0.998901,0.0001379375,0.0005165584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8167545,"threshold_uncertainty_score":0.6130173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}