{"id":"W6905913237","doi":"10.15468/dl.ycnftn","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); 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":[0.000918692,0.001846117,0.001534098,0.005390677,0.0009207429,0.002519643,0.002597969,0.001885876,0.1591762],"category_scores_gemma":[0.005547854,0.0008540733,0.0011158,0.01073964,0.0004170623,0.002109526,0.002527382,0.001794322,0.2130626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600569,"about_ca_system_score_gemma":0.002414749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02421864,"about_ca_topic_score_gemma":0.03930322,"domain_scores_codex":[0.9990025,0.0001308074,0.0001374416,0.0003289652,0.0002257722,0.0001745321],"domain_scores_gemma":[0.9976608,0.0006242134,0.0002394459,0.0005883512,0.0006132044,0.0002740676],"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":[0.00003263348,0.00001056152,0.0004054931,0.0006230292,0.00001732439,0.00001475861,0.00002320843,0.000128988,0.0001344939,0.0004093492,0.9965575,0.001642749],"study_design_scores_gemma":[0.00006581556,0.000007444986,0.001906565,0.0002060586,0.00001534079,0.00003307691,0.00006200544,0.0001218111,0.000186001,0.000716352,0.9966624,0.00001710221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003541972,0.00002654811,0.00003384069,0.00002829859,0.000009533371,0.000004381223,0.9990151,0.0002820823,0.0005647595],"genre_scores_gemma":[0.0001468377,0.00003526177,0.000156775,0.00003954814,0.000003166675,0.00003283394,0.9990651,0.0001143645,0.0004061391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408238,"threshold_uncertainty_score":0.5324975,"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."}}