{"id":"W6924164979","doi":"10.15468/dl.mraf9h","title":"Occurrence Download","year":2023,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001046021,0.00206154,0.001686393,0.005488106,0.001026044,0.002906406,0.002844471,0.001877576,0.2067039],"category_scores_gemma":[0.006055042,0.001056046,0.00120842,0.01045825,0.0004546532,0.002437694,0.003009446,0.001973738,0.2710979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731919,"about_ca_system_score_gemma":0.002558022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549901,"about_ca_topic_score_gemma":0.0409585,"domain_scores_codex":[0.9990445,0.0001137597,0.0001201387,0.0003226351,0.0002199878,0.0001789894],"domain_scores_gemma":[0.9975732,0.0006528071,0.0002243375,0.0006331355,0.0006159996,0.0003005895],"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":[0.00002442913,0.00000805983,0.0002874709,0.0005188314,0.00001271312,0.00001256055,0.00002207701,0.00008197976,0.00009384767,0.0003602137,0.9972767,0.001301037],"study_design_scores_gemma":[0.0000576743,0.000005499834,0.00152802,0.0002010604,0.00001255742,0.00003050498,0.00005867508,0.00009587267,0.0001647884,0.0007072033,0.9971227,0.00001542598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002431542,0.00001883388,0.00003573038,0.00002520617,0.000008814266,0.000004404732,0.9989299,0.0003410197,0.0006117471],"genre_scores_gemma":[0.0001314967,0.00003342519,0.0001831187,0.00004201932,0.000003000928,0.00004150092,0.9988717,0.0002054885,0.0004881028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7932961,"threshold_uncertainty_score":0.6914935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}