{"id":"W7114794641","doi":"10.48660/25120030","title":"Soft Charges and Energy-Energy Correlators in the 'in-in' Formalism","year":2025,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Formalism (music); Field (mathematics); Scaling","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000393854,0.0003979305,0.0004994299,0.001183619,0.00002690468,0.00004574473,0.0004450239,0.0004576666,0.0005252261],"category_scores_gemma":[0.0000596454,0.0003096276,0.000066622,0.0006833231,0.00008982501,0.00007222944,0.0001263755,0.0003855064,0.0001970516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272504,"about_ca_system_score_gemma":0.0001174794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01300697,"about_ca_topic_score_gemma":0.05378895,"domain_scores_codex":[0.9982353,0.0001925705,0.0003285883,0.0004551742,0.0002929874,0.0004953733],"domain_scores_gemma":[0.999139,0.0001508112,0.00017201,0.0004797096,0.00001178112,0.00004674217],"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":[0.00005293041,0.0002593831,0.02490894,0.0001509735,0.00008384744,0.0002321398,0.001736185,0.00003807465,0.00002142975,0.1805619,0.7773386,0.01461564],"study_design_scores_gemma":[0.0007686471,0.00001420329,0.00479209,0.0005350216,0.00002164338,0.000005498181,0.0001343929,0.0002879432,0.000009785475,0.0009609069,0.992119,0.0003508804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004877037,0.01064122,0.00003955983,0.000198491,0.0004972428,0.000151862,0.0001770882,0.0001431888,0.9876636],"genre_scores_gemma":[0.1585529,0.001937469,0.00003629935,0.001126579,0.0003542509,0.0002429729,0.0001777076,0.0009058133,0.836666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2147804,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679251461999007,"score_gpt":0.2241215183625387,"score_spread":0.2164422669005397,"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."}}