{"id":"W6943340926","doi":"10.15468/dl.xwhocu","title":"Occurrence Download","year":2018,"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); Reference data","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":[0.00102402,0.001959917,0.001723524,0.005337658,0.001014034,0.002922744,0.003109258,0.002136305,0.1520702],"category_scores_gemma":[0.006310949,0.0008728698,0.001207593,0.01045389,0.0004290837,0.002554275,0.002774142,0.002148808,0.2292398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541603,"about_ca_system_score_gemma":0.002374598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01779735,"about_ca_topic_score_gemma":0.03210049,"domain_scores_codex":[0.9988881,0.0001442888,0.0001446393,0.000388862,0.0002528241,0.0001813208],"domain_scores_gemma":[0.9974235,0.0006767727,0.0002506197,0.0007009282,0.0006456043,0.00030249],"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":[0.0000252142,0.00001032945,0.0003526367,0.0005052098,0.00001576541,0.00001399453,0.00002121444,0.0001070093,0.00009960891,0.0003902217,0.9970816,0.00137715],"study_design_scores_gemma":[0.00005834152,0.000006843512,0.001614441,0.0001837005,0.00001452817,0.00003432378,0.0000605575,0.0001305825,0.0001695949,0.0007783668,0.9969326,0.0000160079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003865421,0.00003246925,0.0000465984,0.00003739983,0.00001245257,0.000004932032,0.9987967,0.0003667878,0.0006640478],"genre_scores_gemma":[0.0001385836,0.00003599031,0.0001772041,0.0000407882,0.000003407892,0.00003597999,0.9989678,0.000130484,0.0004697116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479298,"threshold_uncertainty_score":0.5087255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}