{"id":"W6999098149","doi":"","title":"Bollinger champagne","year":2015,"lang":"no","type":"report","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Work (physics); Quarter (Canadian coin); Period (music)","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.02601947,0.009706944,0.01175916,0.01169387,0.002103925,0.003048389,0.007999479,0.009474861,0.04293617],"category_scores_gemma":[0.01089028,0.01028902,0.004970151,0.01457314,0.00255137,0.002720136,0.004431472,0.01003598,0.4163054],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01420228,"about_ca_system_score_gemma":0.02057018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003758454,"about_ca_topic_score_gemma":0.001851913,"domain_scores_codex":[0.9437432,0.003633389,0.01008974,0.01023902,0.02242368,0.009870915],"domain_scores_gemma":[0.9534727,0.001553984,0.01010024,0.01298454,0.01491393,0.006974662],"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":[0.001123296,0.003372391,0.001657024,0.0046986,0.004010428,0.009090007,0.002717511,0.0003553824,0.006711585,0.0003270366,0.9493767,0.01656003],"study_design_scores_gemma":[0.007300234,0.001503555,0.003427035,0.004816264,0.003900184,0.004403359,0.000879321,0.0007194105,0.0009100063,0.0006656685,0.9605742,0.01090076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02318427,0.131653,0.0006011929,0.0007956577,0.0355724,0.01256214,0.02855198,0.003771397,0.763308],"genre_scores_gemma":[0.2241907,0.0300385,0.002433082,0.001115444,0.03766797,0.002346146,0.01331996,0.01069287,0.6781953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3733692,"threshold_uncertainty_score":0.9995077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08725690497665776,"score_gpt":0.3146206752652592,"score_spread":0.2273637702886014,"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."}}