{"id":"W6908098138","doi":"10.25573/serc.20060765","title":"2020 Meteorological Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Tropical cyclone; Nova scotia","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":[],"consensus_categories":[],"category_scores_codex":[0.0006731302,0.001272835,0.001075577,0.001896024,0.0006379714,0.001570745,0.001733696,0.0009660619,0.08647464],"category_scores_gemma":[0.002988774,0.0005381025,0.0005396874,0.005324356,0.0002502111,0.0008848892,0.001163071,0.00123489,0.08733207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268812,"about_ca_system_score_gemma":0.002264427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05211556,"about_ca_topic_score_gemma":0.08785415,"domain_scores_codex":[0.999526,0.00006617048,0.00004445634,0.000164871,0.0001211538,0.00007733259],"domain_scores_gemma":[0.9989214,0.0002072665,0.0001191007,0.0002311852,0.0003338784,0.0001872506],"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":[0.00002843152,0.000007711854,0.0008860538,0.000202205,0.00001288923,0.000008786542,0.00001347911,0.0001847161,0.00005450236,0.0003279132,0.9967637,0.001509709],"study_design_scores_gemma":[0.0001278027,0.000006518699,0.00699248,0.0001409473,0.00001483323,0.00001636113,0.00005869096,0.0003520447,0.0001877459,0.0006985879,0.9913859,0.00001796674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005575643,0.0000164855,0.00002311956,0.00002537509,0.000008757053,0.00000278733,0.9991991,0.0001099819,0.0005587047],"genre_scores_gemma":[0.000385676,0.00003623313,0.000199713,0.00002159469,0.000005449348,0.00003537766,0.9985303,0.00006620362,0.000719457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08647464,"threshold_uncertainty_score":0.2892865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069526586790502,"score_gpt":0.3604013393000404,"score_spread":0.2534486806209901,"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."}}