{"id":"W6924359008","doi":"10.15468/dl.nqqgfb","title":"Occurrence Download","year":2021,"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); Data collection; 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":[0.001114726,0.001937215,0.001641491,0.005712897,0.0009345578,0.002604128,0.002720615,0.00196409,0.1900661],"category_scores_gemma":[0.006455221,0.000949517,0.001200666,0.01058294,0.000433554,0.002377728,0.002822846,0.001940239,0.2446703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578061,"about_ca_system_score_gemma":0.002510958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011812,"about_ca_topic_score_gemma":0.0350133,"domain_scores_codex":[0.9988838,0.0001566893,0.000150115,0.0003730845,0.0002459834,0.0001902241],"domain_scores_gemma":[0.9971655,0.0007820431,0.0002836791,0.0007078602,0.0007190382,0.0003419616],"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":[0.00002873144,0.000009249516,0.0003219999,0.0006087022,0.00001587963,0.00001216499,0.00002032154,0.0001036429,0.0001113749,0.000350534,0.9969806,0.001436826],"study_design_scores_gemma":[0.00006903508,0.000007812422,0.001694792,0.0002121816,0.00001515534,0.00002998117,0.0000570194,0.0001044423,0.0001618961,0.0007288308,0.9969022,0.00001664526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002969512,0.00002497203,0.00003532026,0.00003043673,0.00001025371,0.000005244449,0.9989669,0.0003033718,0.0005936503],"genre_scores_gemma":[0.0001386739,0.00003739782,0.0001805816,0.00004817543,0.000003570947,0.00004364512,0.9989335,0.0001491482,0.0004652956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8099339,"threshold_uncertainty_score":0.6358345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}