{"id":"W6887190025","doi":"10.15468/dl.v4zvxj","title":"Occurrence Download","year":2020,"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":[0.001080019,0.001930767,0.001665189,0.005739616,0.0009061508,0.002438391,0.002998667,0.001924541,0.1742928],"category_scores_gemma":[0.006320645,0.0009414945,0.001130445,0.01183307,0.0004616393,0.002224423,0.002501468,0.001882275,0.207636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655995,"about_ca_system_score_gemma":0.002647754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02600177,"about_ca_topic_score_gemma":0.03796675,"domain_scores_codex":[0.998923,0.0001400172,0.0001445131,0.0003567059,0.0002543098,0.0001812717],"domain_scores_gemma":[0.9974182,0.0007097442,0.0002513571,0.0006678841,0.0006398917,0.0003129374],"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":[0.00003205991,0.00001026907,0.0003700982,0.0005401567,0.00001608834,0.00001511771,0.00002342419,0.0001347928,0.0001177194,0.000384438,0.9968579,0.001497953],"study_design_scores_gemma":[0.00007393025,0.000007393253,0.002113011,0.0001876427,0.00001552294,0.00003687433,0.00007172922,0.0001341544,0.0002030488,0.000699262,0.9964394,0.00001804193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003400417,0.00002164774,0.00003584185,0.00002805468,0.000008346537,0.000004152162,0.9990332,0.0002922389,0.0005425359],"genre_scores_gemma":[0.0001446135,0.00002774764,0.0001515385,0.00003454123,0.000002568202,0.00003376593,0.9990396,0.0001224581,0.0004431383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257072,"threshold_uncertainty_score":0.5830674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}