{"id":"W4323319731","doi":"10.1088/1475-7516/2023/03/014","title":"Back to the features: assessing the discriminating power of future CMB missions on inflationary models","year":2023,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Cosmic microwave background; Physics; Planck; Statistical model; Statistical power; Cosmic background radiation; Spectral density; Astrophysics; Machine learning; Computer science; Statistics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003094374,0.00008296047,0.0001436228,0.0000311948,0.0002758144,0.00002279222,0.0001329136,0.00002351159,0.00002116424],"category_scores_gemma":[0.00002025555,0.00004542861,0.00007347604,0.0002147911,0.0001255341,0.0001517419,0.00005098325,0.0002488756,0.000009832318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004186941,"about_ca_system_score_gemma":0.00004102735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002085694,"about_ca_topic_score_gemma":2.801303e-7,"domain_scores_codex":[0.9993189,0.0001253669,0.000228858,0.00007345392,0.0001136051,0.0001398303],"domain_scores_gemma":[0.9990711,0.0004280203,0.0002158294,0.0001190904,0.0001194369,0.00004656443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001674256,0.0001699926,0.0405294,0.000008575551,0.0001737769,0.000004600119,0.009029089,0.03662045,0.003148549,0.8749133,0.006733706,0.02850116],"study_design_scores_gemma":[0.0004303286,0.0002788942,0.151944,0.00005226485,0.00006340001,0.00001257549,0.01110009,0.000603262,0.003528535,0.8313962,0.0004966849,0.00009369157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811904,0.0000396193,0.009151591,0.009103691,0.0002008619,0.00007014682,0.000009982454,0.000003156178,0.0002305086],"genre_scores_gemma":[0.9988069,0.000001004282,0.0005365371,0.0002295139,0.000308439,0.000002907326,0.000002961125,0.000006088817,0.0001056479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114146,"threshold_uncertainty_score":0.2121369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888749804537546,"score_gpt":0.3049386810603976,"score_spread":0.2860511830150221,"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."}}