{"id":"W6887151882","doi":"10.15468/dl.sznscc","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","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":[0.0009389101,0.001890756,0.001600127,0.005161576,0.0009453443,0.002552826,0.002656417,0.001942933,0.1507531],"category_scores_gemma":[0.005573214,0.0008639042,0.001134724,0.01026831,0.0004448864,0.002191326,0.002499179,0.001928478,0.2070002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450565,"about_ca_system_score_gemma":0.002161945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190004,"about_ca_topic_score_gemma":0.03235471,"domain_scores_codex":[0.9990128,0.0001335229,0.0001262561,0.0003439536,0.000218261,0.0001651935],"domain_scores_gemma":[0.9977533,0.0006297225,0.0002252038,0.0005986388,0.0005286526,0.0002644495],"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":[0.00003047134,0.00001146658,0.0004431213,0.0006208125,0.00001698033,0.00001647252,0.00002674541,0.0001476361,0.0001372016,0.0004142764,0.9965418,0.001593028],"study_design_scores_gemma":[0.00006591307,0.000007786447,0.001922019,0.0001967641,0.0000144024,0.00003750592,0.00007506418,0.000139356,0.000181675,0.000745705,0.996597,0.00001689183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004592457,0.00003083245,0.00004466024,0.00003182122,0.00001151121,0.000004630687,0.9988821,0.0003367229,0.0006117472],"genre_scores_gemma":[0.000174156,0.00003686346,0.0001953477,0.00004083469,0.000003402895,0.00003810642,0.9989128,0.0001380487,0.0004604901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492469,"threshold_uncertainty_score":0.5043193,"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."}}