{"id":"W7095216566","doi":"","title":"Chinese Journal of Astronomy and Astrophysics Radio Spectra of three Supernova Remnants","year":2005,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flux (metallurgy); Supernova; Spectral line; Radio spectrum; Spectral analysis; Galactic plane; Supernova remnant","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":[0.0003131919,0.00038822,0.0003953275,0.00212409,0.0008922673,0.0008576788,0.00032044,0.0003076457,0.01367422],"category_scores_gemma":[0.0003736536,0.0001880642,0.0003570773,0.002475018,0.0004249883,0.0002546733,0.0007057802,0.0003829611,0.001346715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006180445,"about_ca_system_score_gemma":0.001471266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019344,"about_ca_topic_score_gemma":0.02029538,"domain_scores_codex":[0.9998378,0.00001089276,0.00002044993,0.00003072065,0.00007052544,0.0000295413],"domain_scores_gemma":[0.9997349,0.0000309453,0.00004300015,0.00003577005,0.00006644773,0.00008877234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003434487,0.0001975185,0.4833232,0.00127162,0.0003019652,0.004681518,0.002467895,0.001917537,0.02710168,0.007188638,0.06417722,0.4070278],"study_design_scores_gemma":[0.00002219639,0.00004182346,0.9227003,0.0000444773,0.00005912538,0.00106156,0.0003437782,0.0009051987,0.000527283,0.001004413,0.07326967,0.00002012098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776764,0.01989154,0.004367258,0.002751557,0.0009417519,0.0002196595,0.006486244,0.0004440923,0.08722147],"genre_scores_gemma":[0.895651,0.018707,0.003735672,0.0007830492,0.0008450136,0.0001322525,0.01057734,0.0001473873,0.06942124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019344,"threshold_uncertainty_score":0.04574484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162098272465174,"score_gpt":0.2528221723976806,"score_spread":0.2412011896730288,"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."}}