{"id":"W6943364347","doi":"10.15468/dl.p3gc8y","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","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":[0.0009014029,0.001967213,0.001445825,0.0049468,0.0009882861,0.002531976,0.002684895,0.002028487,0.1353145],"category_scores_gemma":[0.005425754,0.0007995417,0.001049617,0.009947604,0.0004851692,0.002165611,0.002604912,0.00213074,0.2082369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722534,"about_ca_system_score_gemma":0.002347343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496432,"about_ca_topic_score_gemma":0.04560282,"domain_scores_codex":[0.9990907,0.0001272731,0.0001105662,0.0002924152,0.000226814,0.000152356],"domain_scores_gemma":[0.9978601,0.0005967539,0.0001945202,0.0005579896,0.0005303441,0.0002602995],"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":[0.00002350713,0.00001117044,0.0003332622,0.0004305638,0.0000109455,0.00001522369,0.0000289357,0.0001210539,0.00009431072,0.0004283804,0.9969761,0.001526588],"study_design_scores_gemma":[0.00005129293,0.000005903843,0.001496311,0.0001588545,0.000009092278,0.00003358413,0.00008080105,0.0001430051,0.0001535597,0.000668345,0.9971855,0.00001365707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005112764,0.00003294661,0.00005432796,0.00004292399,0.00001347505,0.00000569856,0.9984785,0.000465118,0.0008559807],"genre_scores_gemma":[0.0001524122,0.00003520503,0.0002103862,0.00003861733,0.000003455149,0.00003835183,0.9988512,0.0001416321,0.0005286613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8646855,"threshold_uncertainty_score":0.452672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174375605415136,"score_gpt":0.2196628649796402,"score_spread":0.1879191089254888,"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."}}