{"id":"W6942727532","doi":"10.15468/dl.kv8vt4","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[],"consensus_categories":[],"category_scores_codex":[0.0009723021,0.001897308,0.001454856,0.004761496,0.0009380369,0.002333432,0.002719102,0.002033632,0.1476213],"category_scores_gemma":[0.005736068,0.0008684207,0.001172321,0.01033559,0.000405207,0.001999756,0.002254688,0.001955833,0.2038975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601772,"about_ca_system_score_gemma":0.00234338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199202,"about_ca_topic_score_gemma":0.0329939,"domain_scores_codex":[0.999016,0.0001281087,0.0001253788,0.0003431724,0.0002284965,0.0001586648],"domain_scores_gemma":[0.9973739,0.000770979,0.00024495,0.0006833574,0.0006302754,0.0002965026],"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":[0.000029388,0.00001467849,0.0004009083,0.0004510167,0.00001345594,0.00001452362,0.00002072812,0.0001279472,0.0001209481,0.000326321,0.9970975,0.001382693],"study_design_scores_gemma":[0.0000863219,0.00001068756,0.002664644,0.000190772,0.00001548582,0.00003783683,0.00008458966,0.0001864847,0.0002225449,0.000673849,0.9958093,0.00001748447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000484882,0.00002034888,0.00003292247,0.00003402142,0.00001132868,0.000005290316,0.9990247,0.000274651,0.0005482251],"genre_scores_gemma":[0.0001423606,0.00002535658,0.0001555851,0.00003538667,0.000003042086,0.00003835095,0.9990684,0.00009590908,0.0004357232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1476213,"threshold_uncertainty_score":0.4938424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}