{"id":"W6943842122","doi":"10.15468/dl.v258ms","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009361557,0.001996988,0.001595805,0.004895012,0.0009903418,0.002498889,0.002813111,0.002058876,0.1630827],"category_scores_gemma":[0.005746636,0.0009240787,0.001241705,0.01006838,0.0004447696,0.002267062,0.002585222,0.001917429,0.2245042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585636,"about_ca_system_score_gemma":0.002324576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216079,"about_ca_topic_score_gemma":0.03503586,"domain_scores_codex":[0.9989497,0.0001388834,0.000135604,0.0003754431,0.0002198684,0.0001805505],"domain_scores_gemma":[0.9976936,0.000634334,0.0002238416,0.0005956244,0.0005954023,0.0002572166],"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":[0.00003500949,0.00001123496,0.000372303,0.0005837675,0.00001493497,0.00001489236,0.00002117578,0.000122944,0.0001301539,0.0003778208,0.9968389,0.001476856],"study_design_scores_gemma":[0.0000756138,0.000009422255,0.001800246,0.0001929597,0.00001465249,0.0000348284,0.00006327109,0.0001311126,0.0001949686,0.0007729892,0.9966917,0.00001813003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003924706,0.00002521554,0.00003620709,0.00003111432,0.00001088661,0.000004739499,0.9989322,0.0003263498,0.0005941332],"genre_scores_gemma":[0.0001490821,0.00003483265,0.0001835575,0.00004553352,0.000003323949,0.00004064992,0.9989402,0.0001394974,0.0004634057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369173,"threshold_uncertainty_score":0.5455661,"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."}}