{"id":"W6925043623","doi":"10.15468/dl.xb6aue","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Birth, Development, and Health","field":"Medicine","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":[0.001075435,0.002063764,0.001575211,0.004715797,0.001021747,0.002649011,0.002867805,0.00217043,0.153862],"category_scores_gemma":[0.006454414,0.0008778613,0.001319047,0.008641837,0.0004616309,0.002239469,0.002479551,0.002064942,0.2257833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618038,"about_ca_system_score_gemma":0.002380654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098435,"about_ca_topic_score_gemma":0.03490419,"domain_scores_codex":[0.9989533,0.0001602813,0.000131988,0.0003655052,0.0002242393,0.0001646862],"domain_scores_gemma":[0.997435,0.000802652,0.0002130537,0.0006427109,0.0006190659,0.0002874949],"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":[0.00002757682,0.00001158035,0.0003578888,0.0004949706,0.00001350243,0.00001523246,0.00001982501,0.000116201,0.0000923659,0.0003207446,0.9972423,0.001287735],"study_design_scores_gemma":[0.00008642492,0.00001007567,0.00190199,0.0002198254,0.00001572274,0.00004383236,0.00007586854,0.0001900644,0.0001862203,0.0008261582,0.9964254,0.00001830903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004311823,0.00003318951,0.00004498483,0.00004757095,0.00001401623,0.000006759973,0.9987789,0.0003926662,0.0006387738],"genre_scores_gemma":[0.0001553618,0.00003767835,0.0001880602,0.00005574722,0.000004214517,0.00004746743,0.9989215,0.0001280658,0.0004619009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846138,"threshold_uncertainty_score":0.5147196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472496583654429,"score_gpt":0.2581712086911496,"score_spread":0.2334462428546053,"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."}}