{"id":"W7095269623","doi":"","title":"DÉPARTEMENT DE SCIENCES ET TECHNOLOGIES DES ALIMENTS","year":2015,"lang":"en","type":"article","venue":"","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerging technologies; Context (archaeology); Animal production; Food processing","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":[0.005520598,0.00005768932,0.00009712154,0.000136407,0.0004848288,0.0001557012,0.0004314171,0.00003214222,0.0003348243],"category_scores_gemma":[0.001203272,0.0000441997,0.00003036768,0.0007790689,0.002156809,0.0003178827,0.0001173231,0.00006621448,0.0003502177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301864,"about_ca_system_score_gemma":0.0005981543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303632,"about_ca_topic_score_gemma":0.003148423,"domain_scores_codex":[0.9978342,0.0008045778,0.0001136227,0.0001715225,0.0007159286,0.0003601162],"domain_scores_gemma":[0.9993267,0.0002186254,0.00003368908,0.00009294961,0.0002295023,0.00009853428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000056602,0.00009424523,0.05278336,0.000002245893,0.00004550079,0.000001982024,0.038784,0.00005295479,0.0006165351,0.8604903,0.04424583,0.002877356],"study_design_scores_gemma":[0.0002589405,0.0002196884,0.002937256,0.00001431059,0.000009467873,2.494339e-7,0.4462211,0.0003520726,0.00861656,0.3649609,0.1762181,0.0001913346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2004268,0.0004114651,0.009978464,0.01061054,0.00002820443,0.0001660792,9.909276e-7,0.000221724,0.7781557],"genre_scores_gemma":[0.9841495,0.00008954982,0.008075246,0.0001698333,0.00001224646,0.00002668129,5.051929e-7,0.000002222319,0.007474197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7837228,"threshold_uncertainty_score":0.7946851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.677276472321455,"score_gpt":0.6389643656658563,"score_spread":0.0383121066555987,"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."}}