{"id":"W4407549482","doi":"10.2174/092986653201250206011525","title":"Preface","year":2025,"lang":"en","type":"article","venue":"Protein and Peptide Letters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001111184,0.00007315985,0.0001577212,0.00008734782,0.00006881879,0.00002674707,0.00005683454,0.00002499153,0.00005697015],"category_scores_gemma":[0.00005226165,0.00007723868,0.0000322555,0.00008758529,0.00004679415,0.00005001201,0.00004321006,0.00007074417,0.0000974773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001461572,"about_ca_system_score_gemma":0.000003146844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009541572,"about_ca_topic_score_gemma":0.00001500464,"domain_scores_codex":[0.9994926,0.000004062125,0.000163049,0.0001885933,0.00001133638,0.0001402988],"domain_scores_gemma":[0.9997958,0.00001683221,0.0000442651,0.0001118442,0.000004808567,0.00002645523],"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":[0.00005563121,0.00008206418,0.2284206,0.0005253045,0.0002509905,0.00001597007,0.002091318,0.00001040858,0.014504,0.5601243,0.1819813,0.01193812],"study_design_scores_gemma":[0.0007394115,0.00002652491,0.05025132,0.00007894259,0.000006279154,0.000001280055,0.00008694144,0.00006283704,0.001683305,0.02083422,0.9259874,0.0002415281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448336,0.00578949,0.002181405,0.06611936,0.0002826018,0.0004318403,0.00001708825,0.00005464825,0.08028996],"genre_scores_gemma":[0.9781429,0.0001640604,0.001060904,0.006469839,0.0000761327,0.00009723796,0.000002281109,0.000007359491,0.01397936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7440062,"threshold_uncertainty_score":0.3149702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531577321050817,"score_gpt":0.2066725226974322,"score_spread":0.1913567494869241,"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."}}