{"id":"W6926026765","doi":"10.18739/a28s3q","title":"Silalirijiit Project: Kangiqtugaapik (Clyde River), Nunavut, Canada, Weather Station Network","year":2016,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Weather station; Field (mathematics); Weather forecasting; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002282562,0.0007008976,0.001018005,0.0001547128,0.0002746277,0.00003300965,0.0004097634,0.0004873948,0.001106587],"category_scores_gemma":[0.0001545502,0.0005204622,0.0002062612,0.0002961911,0.0001933053,0.0001155484,0.0002211835,0.000661943,0.0002817933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856668,"about_ca_system_score_gemma":0.002023203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2240487,"about_ca_topic_score_gemma":0.4948472,"domain_scores_codex":[0.996718,0.0001648653,0.0006075473,0.0007999502,0.0007963227,0.000913299],"domain_scores_gemma":[0.9978152,0.0002927273,0.0003472567,0.00118528,0.0001491534,0.0002104008],"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":[0.0002202302,0.00006013899,0.00201487,0.0004525596,0.0005578079,0.0003573352,0.0001352526,0.000003773003,0.000008793449,0.00001986861,0.9949549,0.001214475],"study_design_scores_gemma":[0.001256815,0.0001726644,0.005721609,0.002261704,0.0007319995,0.00007280723,0.00004828128,0.00001157092,0.00001862336,0.0001358289,0.9889356,0.0006324316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002664325,0.01327352,0.00001886455,0.0005728292,0.00156874,0.001304388,0.9789693,0.0001035122,0.003922434],"genre_scores_gemma":[0.0008466755,0.007423918,0.0001997714,0.002432921,0.002825087,0.0002448635,0.9820712,0.00009777198,0.00385778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2707986,"threshold_uncertainty_score":0.9998065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731962155383852,"score_gpt":0.2660258116818357,"score_spread":0.2487061901279972,"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."}}