{"id":"W2921689976","doi":"","title":"VizieR Online Data Catalog: FIR-mm data of YSOs in star-forming regions (Ribas+, 2017)","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Star (game theory); Computer science; Astrophysics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007409302,0.001510859,0.001395426,0.005378861,0.0004922258,0.002361438,0.002456476,0.001014384,0.1791339],"category_scores_gemma":[0.002481139,0.000526775,0.0007763644,0.007393529,0.0002403363,0.001578288,0.002027384,0.0009156805,0.2208437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008146736,"about_ca_system_score_gemma":0.001718957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157456,"about_ca_topic_score_gemma":0.0154204,"domain_scores_codex":[0.9994094,0.00002862815,0.00006424376,0.0001646563,0.0002053935,0.0001277028],"domain_scores_gemma":[0.9982513,0.0001822284,0.0002965077,0.0004864779,0.0005403539,0.0002430619],"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":[0.0001198761,0.00002430946,0.001945231,0.0002703966,0.00002220145,0.00002886533,0.00003225631,0.0001429609,0.0005350944,0.0008672233,0.9878467,0.008164958],"study_design_scores_gemma":[0.0002252856,0.00003044724,0.01862548,0.0001256618,0.00003113975,0.00006296632,0.00006881615,0.0003682571,0.001157707,0.001074797,0.9781963,0.00003326628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006248255,0.0001013834,0.0001618315,0.00006229385,0.00003148237,0.00001848814,0.9922892,0.002164414,0.00454614],"genre_scores_gemma":[0.001631751,0.000105027,0.0007336113,0.00004567945,0.00004865182,0.00003580637,0.9933997,0.0008460492,0.003153706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1791339,"threshold_uncertainty_score":0.5992625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419682460234246,"score_gpt":0.289699340130477,"score_spread":0.2355025155281345,"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."}}