{"id":"W6905917570","doi":"10.15468/dl.tfkrnd","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0008807598,0.001814945,0.001462261,0.005000799,0.0008791382,0.002374709,0.002520697,0.001789519,0.1497264],"category_scores_gemma":[0.005287325,0.0008054828,0.001165775,0.01001533,0.0004266276,0.002079138,0.002489375,0.001792218,0.2180823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522903,"about_ca_system_score_gemma":0.002344164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484373,"about_ca_topic_score_gemma":0.04344816,"domain_scores_codex":[0.9990048,0.0001246853,0.0001255637,0.0003345744,0.0002335153,0.0001768661],"domain_scores_gemma":[0.9977006,0.0005585494,0.000217374,0.0006282614,0.0006137232,0.0002814558],"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":[0.00003009412,0.00001033676,0.0004167237,0.0004933368,0.00001605675,0.00001469489,0.00002160398,0.0001239007,0.0001364347,0.0003668999,0.9968415,0.001528441],"study_design_scores_gemma":[0.00006228666,0.000008216969,0.002125139,0.0001725117,0.00001431271,0.00003699338,0.00006943081,0.0001401386,0.0002051709,0.000709475,0.99644,0.0000162732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004409654,0.0000265735,0.00003987359,0.00003068237,0.00001126532,0.00000485212,0.9988456,0.0003675881,0.0006294592],"genre_scores_gemma":[0.0001577362,0.00003011849,0.0001648294,0.00003841344,0.000003346953,0.00003041931,0.9990294,0.0001214082,0.0004244188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502736,"threshold_uncertainty_score":0.5008847,"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."}}