{"id":"W4302356670","doi":"10.7202/1087900ar","title":"Wine Makes Good Blood","year":2000,"lang":"en","type":"article","venue":"Ethnologies","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wine; Anecdote; White Wine; Immigration; Nexus (standard); Aesthetics; Consciousness; Sociology; History; Art; Literature; Visual arts; Archaeology; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005591465,0.0001051871,0.0001132124,0.000004231938,0.0001440547,0.00003548026,0.0002273006,0.0001233262,0.005272847],"category_scores_gemma":[0.00002207875,0.00003254732,0.00006744294,0.0001781184,0.00007658909,0.000086363,0.0000369894,0.0001234945,0.0004656315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003190215,"about_ca_system_score_gemma":0.00000182153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001303121,"about_ca_topic_score_gemma":0.0001552389,"domain_scores_codex":[0.9993654,0.0000250803,0.0001041829,0.0001970558,0.00008967325,0.0002186067],"domain_scores_gemma":[0.9998126,0.00006031893,0.00002168414,0.00005662904,0.00001607608,0.00003270959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003074184,0.0002370234,0.004304869,0.000004299881,0.00004880378,0.00009558201,0.000372487,0.000007171223,0.1154186,0.0006745525,0.03494678,0.8438591],"study_design_scores_gemma":[0.0002236553,0.0005180987,0.1255824,0.00001365849,0.00002940151,0.00004768691,0.001014031,0.000003222314,0.01670266,0.004850479,0.8507145,0.0003002661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465614,0.000753752,1.03608e-7,0.01309518,0.00006038896,0.00006530358,0.00001038489,0.0003338253,0.03911968],"genre_scores_gemma":[0.9743409,0.0002576147,0.0001361262,0.000332554,0.0005039049,0.000009598538,0.00002568268,5.373204e-7,0.02439314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8435588,"threshold_uncertainty_score":0.9956365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950760364756352,"score_gpt":0.2239620079734294,"score_spread":0.2044544043258659,"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."}}