{"id":"W6943384426","doi":"10.15468/dl.xrx2mu","title":"Occurrence Download","year":2018,"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); Order (exchange); 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":[0.0008204564,0.001888335,0.001512155,0.005146091,0.00100031,0.002645053,0.002730689,0.001885176,0.1483197],"category_scores_gemma":[0.005583887,0.00089514,0.001303135,0.01000651,0.0004062111,0.00241826,0.002679626,0.002051211,0.2257278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495152,"about_ca_system_score_gemma":0.002299547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016399,"about_ca_topic_score_gemma":0.03464948,"domain_scores_codex":[0.9989963,0.0001240497,0.0001310982,0.0003675745,0.0002128397,0.0001680899],"domain_scores_gemma":[0.9976801,0.0005942705,0.000221041,0.0006455026,0.0005999092,0.0002591751],"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":[0.00002678826,0.00001086604,0.0004800901,0.0005645407,0.00001575418,0.00001630648,0.00002543096,0.0001315359,0.0001051885,0.0003705088,0.9964748,0.001778116],"study_design_scores_gemma":[0.00005798508,0.000007490795,0.001910831,0.0001886485,0.00001433374,0.00003957226,0.00007596364,0.0001805836,0.0001726296,0.0007243084,0.9966112,0.00001646791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005151018,0.00003209055,0.00005420361,0.00004023805,0.0000142779,0.000005634126,0.9986168,0.00047519,0.0007100519],"genre_scores_gemma":[0.0001687421,0.00003810982,0.0002173451,0.00004481091,0.00000403566,0.00004011595,0.9988418,0.0001464739,0.0004986334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516803,"threshold_uncertainty_score":0.4961789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}