{"id":"W6887349165","doi":"10.15468/dl.yxhh2e","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); 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":[0.001007301,0.001941752,0.001556439,0.004802252,0.001047017,0.002650314,0.002879538,0.002132695,0.162831],"category_scores_gemma":[0.006152656,0.0009116955,0.001250703,0.009028658,0.0004414499,0.002528662,0.00260174,0.002052206,0.2239806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616198,"about_ca_system_score_gemma":0.002342867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114622,"about_ca_topic_score_gemma":0.03472611,"domain_scores_codex":[0.9989536,0.0001530578,0.0001312914,0.0003717366,0.0002228066,0.000167393],"domain_scores_gemma":[0.9975542,0.0007247363,0.0002096649,0.0006391141,0.0006077921,0.0002644507],"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":[0.0000272262,0.00001193356,0.0003612434,0.0005396514,0.00001391037,0.00001525348,0.00002240216,0.0001189129,0.0001039162,0.0003716708,0.9969976,0.001416452],"study_design_scores_gemma":[0.00007107624,0.00000867276,0.001779151,0.0002043351,0.00001392003,0.00003796521,0.00007812558,0.0001622074,0.0001800836,0.0008086287,0.9966377,0.00001810962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000417395,0.0000295194,0.00004638325,0.00004295514,0.00001340282,0.000006382283,0.9987533,0.00039094,0.0006752461],"genre_scores_gemma":[0.000156263,0.00003693849,0.0002075158,0.00005205959,0.000003833353,0.00004985734,0.9988397,0.0001440761,0.0005098518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371689,"threshold_uncertainty_score":0.5447241,"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."}}