{"id":"W6961999898","doi":"10.15468/dl.trpewh","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.001120777,0.002016088,0.001657318,0.005110792,0.001051621,0.002669483,0.002977699,0.002048532,0.1696936],"category_scores_gemma":[0.00634069,0.0009725764,0.001153788,0.01000257,0.00046132,0.002366467,0.002612986,0.002099189,0.2279195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681774,"about_ca_system_score_gemma":0.002477678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284155,"about_ca_topic_score_gemma":0.03640602,"domain_scores_codex":[0.998887,0.0001473421,0.0001411179,0.000380944,0.0002602827,0.0001832974],"domain_scores_gemma":[0.9973541,0.0007649696,0.0002475294,0.0006797732,0.0006567948,0.0002968354],"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":[0.00002702173,0.00001086967,0.0003338363,0.0004881495,0.00001401278,0.00001387008,0.00002318081,0.0001140936,0.0001117857,0.0003860111,0.9971575,0.001319704],"study_design_scores_gemma":[0.00006818885,0.000007091117,0.001726207,0.0001827045,0.00001391236,0.00003512703,0.00007063987,0.0001376403,0.0001942386,0.000777052,0.9967693,0.00001802251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000353353,0.0000229555,0.00004710387,0.00003325043,0.00001118603,0.000004864616,0.998833,0.0003746332,0.0006375981],"genre_scores_gemma":[0.000146309,0.00002985334,0.0001974963,0.00004080958,0.000003179594,0.00004041438,0.9989262,0.0001658638,0.0004497367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303064,"threshold_uncertainty_score":0.5676817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}