{"id":"W6924416244","doi":"10.15468/dl.mfjgjg","title":"Occurrence Download","year":2019,"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); Identification (biology); 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":[0.0007874374,0.001834769,0.001402152,0.004901911,0.001001029,0.002616915,0.002765304,0.001899433,0.1595129],"category_scores_gemma":[0.005388044,0.0008484251,0.0011115,0.01020806,0.000407978,0.00245529,0.002484966,0.001974392,0.2246231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750398,"about_ca_system_score_gemma":0.0023597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02770808,"about_ca_topic_score_gemma":0.04426041,"domain_scores_codex":[0.9990314,0.000122364,0.0001246543,0.0003325924,0.0002243978,0.0001645135],"domain_scores_gemma":[0.9978172,0.0005686879,0.000206556,0.0005562325,0.0005980813,0.0002532138],"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":[0.0000229371,0.000009806836,0.0003482699,0.0003999699,0.0000107569,0.00001309926,0.00002097429,0.0001001683,0.0000764444,0.0003528839,0.9972646,0.001380072],"study_design_scores_gemma":[0.00005694313,0.000006789152,0.001721394,0.0001724245,0.00001141996,0.00003704986,0.00008118444,0.0001577669,0.0001691292,0.0007513979,0.9968181,0.00001645271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004092669,0.00002596155,0.00004480854,0.00004099639,0.00001235837,0.00000476465,0.9987147,0.00038556,0.000730042],"genre_scores_gemma":[0.0001713807,0.00003561942,0.0002005247,0.00004354413,0.00000367209,0.00003641296,0.998781,0.0001412884,0.0005865754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404871,"threshold_uncertainty_score":0.5336238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}