{"id":"W7095743788","doi":"","title":"ORIGINAL ARTICLE Fed-batch production of M","year":2016,"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":"Production (economics); Oleic acid; Bioreactor; Scale (ratio); Composition (language)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002876335,0.0007520338,0.0004671327,0.0005881556,0.0002338634,0.0005001501,0.0004736766,0.0004044036,0.008823962],"category_scores_gemma":[0.0002153692,0.0001618039,0.000417699,0.0005392226,0.0001810492,0.0002463148,0.0004514114,0.0006551981,0.007661472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357673,"about_ca_system_score_gemma":0.0004162762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289921,"about_ca_topic_score_gemma":0.002434923,"domain_scores_codex":[0.9997417,0.00002496659,0.00001607531,0.00008109956,0.0001043532,0.00003171576],"domain_scores_gemma":[0.9999157,0.000008928815,0.00001164737,0.00001702847,0.00002369336,0.00002294979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001577043,0.0001135292,0.0001425377,0.0001650805,0.00001161851,0.0000806458,0.00001961411,0.0001142307,0.9726027,0.000356466,0.001373823,0.02486205],"study_design_scores_gemma":[0.00002747843,0.0005640299,0.001884734,0.00005229848,0.00003001892,0.0002661608,0.00002313916,0.0009685786,0.9250131,0.0001369557,0.07101622,0.00001733224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.652404,0.0248131,0.1388025,0.001031723,0.002610187,0.002345497,0.02201972,0.00501094,0.1509622],"genre_scores_gemma":[0.7157757,0.008769222,0.09205003,0.0004133053,0.0002052826,0.0006817558,0.01975865,0.0004917786,0.1618543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008823962,"threshold_uncertainty_score":0.02951908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333829540018604,"score_gpt":0.488227753820645,"score_spread":0.3548447998187846,"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."}}