{"id":"W6924400513","doi":"10.15468/dl.ppl2od","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Seventeenth-Century Political and Philosophical Thought","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); State (computer science)","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":[0.0009975833,0.001893975,0.001516039,0.005173561,0.001024765,0.002666971,0.00290379,0.002233454,0.1229774],"category_scores_gemma":[0.005514371,0.0007431843,0.001075243,0.01037485,0.0005084903,0.002140013,0.002582919,0.00210156,0.1842418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176005,"about_ca_system_score_gemma":0.002356285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062647,"about_ca_topic_score_gemma":0.03732145,"domain_scores_codex":[0.998973,0.0001443113,0.0001366638,0.0003353307,0.0002417319,0.000168964],"domain_scores_gemma":[0.9978167,0.0006129169,0.000224364,0.0005495722,0.000537678,0.0002587971],"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":[0.00002911638,0.00001223551,0.0004006603,0.0005432948,0.00001417426,0.00001835662,0.00002543503,0.0001310102,0.0001082704,0.0004897435,0.9967044,0.001523327],"study_design_scores_gemma":[0.00006294731,0.000007213563,0.001633474,0.0001870006,0.00001140682,0.00003636581,0.00007035861,0.0001445846,0.0001745298,0.0007757167,0.9968812,0.00001522856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004828284,0.00003644872,0.00004126169,0.00004322097,0.00001325517,0.000005332899,0.9988556,0.0002989078,0.000657664],"genre_scores_gemma":[0.0001641231,0.00004123671,0.0001808525,0.00004621619,0.000003882327,0.00004006378,0.9989232,0.00009762689,0.0005026849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8770226,"threshold_uncertainty_score":0.4114002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357963022884868,"score_gpt":0.2318467276524696,"score_spread":0.1882670974236209,"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."}}