{"id":"W6887263028","doi":"10.15468/dl.umi5tm","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gossypium; Gossypium barbadense; Gossypium hirsutum; Matching (statistics); Taxonomy (biology)","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":[0.0007135583,0.002482434,0.002169349,0.007008861,0.001420418,0.003843389,0.002669657,0.002544414,0.2516298],"category_scores_gemma":[0.005863462,0.000876628,0.001707871,0.0117342,0.0003708148,0.004009672,0.003238731,0.002100962,0.3749566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700987,"about_ca_system_score_gemma":0.002380201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023614,"about_ca_topic_score_gemma":0.03505603,"domain_scores_codex":[0.998798,0.0001355837,0.0001842155,0.0004125837,0.0002567265,0.0002129373],"domain_scores_gemma":[0.9977062,0.000566016,0.0001925239,0.0004981518,0.0007335846,0.0003035184],"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":[0.00005630857,0.0000156017,0.0004219627,0.000762213,0.0000146302,0.00003327197,0.00002521205,0.0001000264,0.0001350134,0.0004653856,0.9944779,0.003492515],"study_design_scores_gemma":[0.00005442126,0.00001214174,0.001387621,0.0002067594,0.00001354855,0.00006205651,0.00008679648,0.0002319819,0.0001453607,0.0009159387,0.9968651,0.0000182537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008730961,0.000104916,0.0001103801,0.00008431741,0.00003346681,0.00001231747,0.9960759,0.001215541,0.002275764],"genre_scores_gemma":[0.0002504196,0.00009460281,0.0003757639,0.00009128055,0.000009997028,0.00004132489,0.997673,0.0002513173,0.00121231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7483702,"threshold_uncertainty_score":0.8417854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}