{"id":"W6943249171","doi":"10.15468/dl.p68mwz","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Castor canadensis; Castor beans; Matching (statistics); Castor oil; Range (aeronautics)","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":[0.0007445407,0.002109733,0.001682427,0.005361386,0.001204651,0.003199795,0.002838897,0.002052209,0.208914],"category_scores_gemma":[0.006033456,0.0008672415,0.001501817,0.009826148,0.0003744003,0.003324225,0.003147668,0.002032541,0.3254527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631352,"about_ca_system_score_gemma":0.002331357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322217,"about_ca_topic_score_gemma":0.04175818,"domain_scores_codex":[0.9988319,0.0001301031,0.0001562991,0.0004073065,0.0002718928,0.0002024915],"domain_scores_gemma":[0.9976185,0.0005549792,0.0001893335,0.0006392034,0.0007274976,0.0002705412],"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":[0.00003831153,0.00001297443,0.0003843967,0.000508,0.00001198591,0.00002106783,0.0000281026,0.00009849931,0.0001106244,0.0004143098,0.9955724,0.002799181],"study_design_scores_gemma":[0.00004420647,0.000009288218,0.001256593,0.0001498118,0.00001046289,0.00004512279,0.00008838255,0.0002012037,0.0001562094,0.000735203,0.9972873,0.00001622228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000760921,0.00005629568,0.0001164162,0.00006954347,0.00002913604,0.000009888942,0.9963905,0.00152104,0.001731073],"genre_scores_gemma":[0.0002328019,0.00006207947,0.0004417849,0.00007810233,0.00000748431,0.0000433284,0.9976932,0.0003827287,0.001058301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.791086,"threshold_uncertainty_score":0.6988869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}