{"id":"W7075737148","doi":"","title":"An Echo of Sappho in Favorinus?","year":2017,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Echo (communications protocol); Volume (thermodynamics); Noise (video)","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":[0.0006184982,0.0002384646,0.0003039507,0.0005996464,0.007665091,0.004782999,0.0004012486,0.001722331,0.01375278],"category_scores_gemma":[0.001808731,0.0001490036,0.0001098927,0.0008067983,0.008136271,0.00401441,0.001816135,0.004589313,0.001706466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772862,"about_ca_system_score_gemma":0.003414636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07285377,"about_ca_topic_score_gemma":0.1842272,"domain_scores_codex":[0.9995649,0.00007204924,0.00001207894,0.00009887094,0.0001181679,0.0001338466],"domain_scores_gemma":[0.999624,0.00009160353,0.0000297134,0.0000398496,0.0001169809,0.00009776155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001548809,0.00001723787,0.00107879,0.00007597624,0.000009911168,0.0004480154,0.02514653,0.00002911385,0.0004769074,0.725982,0.2173268,0.02925387],"study_design_scores_gemma":[0.000008719127,0.000006393155,0.001357235,0.00005559783,0.000004753877,0.000244661,0.0107518,0.00003478267,0.0002072375,0.01751083,0.9698071,0.00001074754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04740244,0.01471748,0.0009914774,0.1777695,0.01784241,0.00001978809,0.0004023417,0.000131972,0.7407225],"genre_scores_gemma":[0.6261673,0.004699881,0.0007022159,0.02506837,0.007135546,0.00001633031,0.0001201384,0.0004406302,0.3356496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07285377,"threshold_uncertainty_score":0.1448594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704801705151231,"score_gpt":0.2498075074515959,"score_spread":0.2227594904000836,"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."}}