{"id":"W6887059565","doi":"10.15468/dl.olqu23","title":"Occurrence Download","year":2017,"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; Software; Fontinalis","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":[0.0009529745,0.00197401,0.00153568,0.005337344,0.0009330297,0.002499084,0.002783159,0.001964215,0.1309976],"category_scores_gemma":[0.005668051,0.0008092155,0.001132716,0.01052579,0.0004478062,0.002100688,0.002642506,0.001904481,0.1978389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587657,"about_ca_system_score_gemma":0.002543515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267363,"about_ca_topic_score_gemma":0.0391141,"domain_scores_codex":[0.9989728,0.000134958,0.0001372266,0.000338489,0.000234245,0.0001823684],"domain_scores_gemma":[0.9976579,0.0005769434,0.0002390558,0.0006207019,0.0006165579,0.0002888713],"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":[0.00003212784,0.0000119994,0.0004353408,0.0005728443,0.00001717135,0.00001678428,0.00002468011,0.0001322338,0.0001304213,0.0004099819,0.996693,0.00152332],"study_design_scores_gemma":[0.0000725167,0.000007878683,0.001927796,0.0001896246,0.00001456974,0.00003742578,0.0000682114,0.0001401948,0.0001890677,0.0007041517,0.9966323,0.00001632151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000462776,0.00002990121,0.0000395562,0.00003114843,0.00001092949,0.000005366323,0.9989027,0.0003315192,0.0006025673],"genre_scores_gemma":[0.0001451569,0.00003122425,0.0001526185,0.0000344819,0.00000302668,0.00003286353,0.9991421,0.0001008762,0.000357606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8690025,"threshold_uncertainty_score":0.4382305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}