{"id":"W6961996851","doi":"10.15468/dl.rrjwhp","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; 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":[0.0009106168,0.001885808,0.001520219,0.005008091,0.000958215,0.002448703,0.002717516,0.002082094,0.1649514],"category_scores_gemma":[0.005792393,0.0008646696,0.001176232,0.009389751,0.0004548797,0.0023927,0.002540985,0.001877961,0.2138389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637028,"about_ca_system_score_gemma":0.002320926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325566,"about_ca_topic_score_gemma":0.03607418,"domain_scores_codex":[0.9990694,0.0001245067,0.0001173691,0.000320757,0.0002094068,0.0001586288],"domain_scores_gemma":[0.997718,0.0006461094,0.000211202,0.0005957841,0.000568448,0.0002605391],"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":[0.00002821218,0.00001129354,0.0004037886,0.0005274284,0.00001428373,0.00001468329,0.00002373122,0.000132742,0.0001068621,0.0003540925,0.9968844,0.001498365],"study_design_scores_gemma":[0.00007130279,0.000009085714,0.002030814,0.0002133867,0.00001462393,0.00003777993,0.00008159935,0.0001851586,0.0001826489,0.0007627942,0.9963935,0.00001734784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004533688,0.00002779042,0.00004123194,0.00003969974,0.00001288553,0.000005543923,0.998779,0.0004080253,0.0006405545],"genre_scores_gemma":[0.0001837901,0.00003485248,0.0001933794,0.00005111987,0.000003732333,0.00004279126,0.99884,0.0001513726,0.0004989526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8350486,"threshold_uncertainty_score":0.5518174,"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."}}