{"id":"W6943706503","doi":"10.15468/dl.y4j4cj","title":"Occurrence Download","year":2022,"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); Identification (biology); 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":[0.001009046,0.00195008,0.001450518,0.005270434,0.001111085,0.002805371,0.002817476,0.002113151,0.1505558],"category_scores_gemma":[0.005955697,0.000801718,0.001003381,0.01024164,0.000512477,0.002235839,0.002612634,0.00217719,0.2256924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828545,"about_ca_system_score_gemma":0.002596784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483754,"about_ca_topic_score_gemma":0.04661162,"domain_scores_codex":[0.9989818,0.0001437009,0.0001209479,0.0003309622,0.0002587156,0.000163896],"domain_scores_gemma":[0.9976223,0.0006971851,0.0002173588,0.0005914135,0.0005865744,0.0002851789],"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":[0.00002138942,0.000009511358,0.0002977273,0.0004035981,0.000009985783,0.00001466508,0.00002599444,0.00009901965,0.00008296868,0.0004438646,0.997219,0.001372247],"study_design_scores_gemma":[0.00004682104,0.000005258719,0.001354264,0.0001580245,0.000008664335,0.00003268162,0.00007283259,0.0001173315,0.0001372319,0.0006885668,0.9973652,0.00001319868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004219179,0.00003244457,0.00005077875,0.00004382306,0.00001273984,0.000005140532,0.9985575,0.0003851535,0.0008702224],"genre_scores_gemma":[0.0001420351,0.00003637109,0.0002013225,0.00004025843,0.000003617703,0.0000385746,0.9988083,0.0001344846,0.0005950741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494442,"threshold_uncertainty_score":0.5036592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537484111639611,"score_gpt":0.2096483818023815,"score_spread":0.1842735406859853,"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."}}