{"id":"W6924850279","doi":"10.15468/dl.wxvvm3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Software; 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":[0.001095792,0.002003237,0.001627409,0.005096858,0.001007795,0.002689238,0.002901708,0.002095284,0.1449364],"category_scores_gemma":[0.006356106,0.0009385998,0.001151896,0.01013184,0.0004608817,0.002262539,0.002433221,0.002055711,0.2083978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719242,"about_ca_system_score_gemma":0.002535133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384499,"about_ca_topic_score_gemma":0.03905977,"domain_scores_codex":[0.998853,0.0001584235,0.0001549234,0.0003953686,0.0002598436,0.0001785014],"domain_scores_gemma":[0.9973355,0.0007970762,0.0002483697,0.0006373308,0.0006820361,0.0002996156],"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":[0.00002980455,0.00001135138,0.0003981683,0.0005345385,0.00001532372,0.00001554294,0.00002465853,0.0001327394,0.0001062417,0.0003770253,0.9970607,0.001293832],"study_design_scores_gemma":[0.00007558995,0.000007438067,0.001813214,0.0001961664,0.00001454304,0.0000352319,0.00007328134,0.0001682165,0.0001828554,0.0006997201,0.9967167,0.00001700864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003768566,0.00002347531,0.00004058518,0.00003085713,0.0000099491,0.000004775137,0.9989848,0.0003173256,0.0005505898],"genre_scores_gemma":[0.000136005,0.0000294541,0.0001800103,0.00003709879,0.000002854249,0.00003550046,0.9990535,0.000129381,0.0003962438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8550636,"threshold_uncertainty_score":0.4848607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991339865303337,"score_gpt":0.2309944240345435,"score_spread":0.2010810253815101,"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."}}