{"id":"W6962445005","doi":"10.15468/dl.sppz5q","title":"Occurrence Download","year":2022,"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); Data set; Software","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":[0.001109226,0.001982862,0.001687752,0.005562463,0.001022277,0.002831221,0.0028993,0.002088774,0.1686266],"category_scores_gemma":[0.006656223,0.001000666,0.001191682,0.01094944,0.0004679546,0.002381646,0.002687096,0.002064457,0.2267563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625222,"about_ca_system_score_gemma":0.002443562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218295,"about_ca_topic_score_gemma":0.03574361,"domain_scores_codex":[0.9988251,0.0001575459,0.0001592927,0.0004080218,0.0002613892,0.000188588],"domain_scores_gemma":[0.9971985,0.0008188793,0.0002754913,0.0007304103,0.0006558427,0.0003209695],"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":[0.00002938856,0.0000104474,0.0003844852,0.0005697153,0.0000161048,0.00001530164,0.00002476915,0.0001200167,0.0001119434,0.0003861178,0.9970203,0.001311346],"study_design_scores_gemma":[0.00007358788,0.000007756002,0.001869509,0.0002022832,0.00001547452,0.00003806531,0.00007497975,0.00013881,0.0001705718,0.0007505108,0.9966407,0.00001782098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003389554,0.00002272902,0.00003847426,0.00003115337,0.0000103392,0.000004334307,0.9990084,0.0003167982,0.0005339903],"genre_scores_gemma":[0.0001419369,0.00003204834,0.0001759626,0.00004134308,0.000003153976,0.00003711247,0.998995,0.0001467871,0.0004266353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313734,"threshold_uncertainty_score":0.5641122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}