{"id":"W6887125893","doi":"10.15468/dl.ruacw2","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009790182,0.001954643,0.001597153,0.005165131,0.001029657,0.002630662,0.002786816,0.002098727,0.1654682],"category_scores_gemma":[0.006302557,0.0008873909,0.00128712,0.009765396,0.0004492148,0.002387239,0.002528023,0.001954707,0.2348889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633776,"about_ca_system_score_gemma":0.002393298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02454768,"about_ca_topic_score_gemma":0.03774028,"domain_scores_codex":[0.9989601,0.0001465859,0.0001285891,0.0003622849,0.0002271835,0.0001751525],"domain_scores_gemma":[0.9974727,0.0007531267,0.0002159904,0.0006405999,0.0006460343,0.0002715355],"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":[0.0000283038,0.00001119343,0.0003908675,0.0005599788,0.00001371991,0.00001601416,0.00002432471,0.0001169409,0.0001105414,0.0003448564,0.9969271,0.001456128],"study_design_scores_gemma":[0.00006755885,0.000008556318,0.001943771,0.0002196694,0.00001467245,0.00003791295,0.00008677963,0.0001520296,0.0001863377,0.0007489877,0.9965155,0.00001805395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004202329,0.00002897292,0.00004257388,0.00003991474,0.00001207347,0.000005793827,0.9987928,0.0003826142,0.0006531357],"genre_scores_gemma":[0.0001683515,0.00003735268,0.00019528,0.00004832782,0.000003724065,0.00004656003,0.998836,0.0001499841,0.0005144462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345318,"threshold_uncertainty_score":0.5535463,"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."}}