{"id":"W6887222383","doi":"10.15468/dl.vw5y9j","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Identification (biology)","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":[0.0009702634,0.002310886,0.001554087,0.004725166,0.001100762,0.002574704,0.003133577,0.002337191,0.1071681],"category_scores_gemma":[0.005202421,0.0008629189,0.001304818,0.008684877,0.0004894693,0.002278409,0.002423377,0.002177165,0.1728196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741586,"about_ca_system_score_gemma":0.002463909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566709,"about_ca_topic_score_gemma":0.04449416,"domain_scores_codex":[0.9989432,0.0001501321,0.0001306917,0.0003640756,0.0002416281,0.0001704245],"domain_scores_gemma":[0.9980116,0.0005209746,0.0001745338,0.0005464957,0.000494859,0.0002515301],"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":[0.0000334309,0.00001503608,0.0003960916,0.000457076,0.00001524894,0.00001975031,0.00002166178,0.0001460525,0.0001159227,0.0003880084,0.9970524,0.001339357],"study_design_scores_gemma":[0.00008510429,0.00001021085,0.001968137,0.000177738,0.00001511756,0.00005795589,0.00008342306,0.0002401545,0.0002261325,0.0008326914,0.9962844,0.00001891664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006925965,0.00004311912,0.00005817421,0.0000515366,0.00001615319,0.00000727579,0.9984651,0.0005279353,0.0007615102],"genre_scores_gemma":[0.0001686407,0.00003392392,0.0001949889,0.00004474513,0.000003407858,0.00003417526,0.9990138,0.0001072103,0.0003991381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8928319,"threshold_uncertainty_score":0.3585131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07967312803606451,"score_gpt":0.3339888151856532,"score_spread":0.2543156871495887,"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."}}