{"id":"W6943141211","doi":"10.15468/dl.mggkgg","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); Alien; 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":[0.0009114068,0.002000717,0.001485676,0.005005684,0.00097016,0.002424682,0.002565211,0.001968849,0.1449077],"category_scores_gemma":[0.005891737,0.0008542443,0.001194415,0.00991734,0.0004398673,0.002097201,0.002438814,0.001757286,0.2005626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482439,"about_ca_system_score_gemma":0.002281978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210023,"about_ca_topic_score_gemma":0.03409816,"domain_scores_codex":[0.9989642,0.0001438637,0.0001359953,0.0003652931,0.0002173038,0.0001733158],"domain_scores_gemma":[0.9976546,0.0006824841,0.0002295112,0.0005780595,0.0005987885,0.0002565794],"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":[0.00003627259,0.00001341161,0.0004720546,0.0006027591,0.00001523336,0.0000170282,0.0000229711,0.0001447642,0.0001388001,0.000374181,0.9965338,0.001628733],"study_design_scores_gemma":[0.00008107646,0.00001183976,0.002131794,0.0002049714,0.00001593868,0.00004044199,0.00007515257,0.0001756415,0.0002126081,0.0008072103,0.9962236,0.00001971697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005183258,0.00002843204,0.00003927305,0.00003441783,0.00001203512,0.000005337115,0.9988554,0.0003568518,0.0006163404],"genre_scores_gemma":[0.0001740464,0.00003448636,0.0001887331,0.000044623,0.000003611422,0.0000416273,0.9989491,0.0001245683,0.0004391466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8550923,"threshold_uncertainty_score":0.4847645,"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."}}