{"id":"W1541580943","doi":"10.1434/8695:y:2003:i:1:p:129-132","title":"Il caso Tetra Laval","year":2003,"lang":"it","type":"article","venue":"Mercato Concorrenza Regole","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tetra; Political science; Chemistry; Medicinal chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005296929,0.0003676025,0.000509132,0.00005284936,0.001250455,0.00007371534,0.0003708011,0.0002548459,0.003546727],"category_scores_gemma":[0.0002851708,0.0003465192,0.0002532728,0.0005489082,0.0009424764,0.0001782587,0.0001031606,0.00037014,0.004724525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007311745,"about_ca_system_score_gemma":0.0001745594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006658979,"about_ca_topic_score_gemma":0.0011788,"domain_scores_codex":[0.9969506,0.0004152685,0.0004281843,0.0006170375,0.0007236041,0.000865365],"domain_scores_gemma":[0.9988358,0.0001833539,0.0001524441,0.0003526534,0.00003722022,0.0004385279],"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":[0.0000923832,0.001745671,0.1289127,0.0001233784,0.0004494383,0.0002927367,0.08623613,0.00005752499,0.001600746,0.04871657,0.6403166,0.09145613],"study_design_scores_gemma":[0.0004174818,0.0001219682,0.001852948,0.00002868244,0.00008206706,0.000006156505,0.009043,0.00001085898,0.0004892793,0.0003885505,0.9870886,0.0004703673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1618668,0.01409599,0.0001489135,0.002775592,0.008064779,0.0006045324,0.0000780774,0.0001928254,0.8121725],"genre_scores_gemma":[0.8817653,0.002447437,0.000134615,0.0005122396,0.000443307,0.00003243054,0.000004973603,0.00003556316,0.1146241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7198985,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586480601121943,"score_gpt":0.2595197509390034,"score_spread":0.2336549449277839,"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."}}