{"id":"W4236086503","doi":"10.1016/s0015-1882(04)00048-5","title":"Saudi order for oil treatment plant from Alfa Laval","year":2004,"lang":"en","type":"article","venue":"Filtration & Separation","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Order (exchange); Engineering; Waste management; Business","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":[0.0002320471,0.0001067348,0.0001195633,0.00003578605,0.00047543,0.0001144042,0.00008413026,0.0001050779,0.0004967175],"category_scores_gemma":[0.00008276796,0.000108238,0.00004630954,0.00008478506,0.00004826385,0.0003574961,0.000004341783,0.00003244791,0.0002338094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006266418,"about_ca_system_score_gemma":0.0005573619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796557,"about_ca_topic_score_gemma":0.01001461,"domain_scores_codex":[0.9991181,0.00005759923,0.0002331889,0.0002294302,0.000167706,0.0001939133],"domain_scores_gemma":[0.9995137,0.0001290264,0.0001145963,0.0001048829,0.00007633796,0.00006147467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006253091,0.001377309,0.009180565,0.00003871421,0.0006156742,0.000005742779,0.4323697,0.01261886,0.01762221,0.2793752,0.1109037,0.1352669],"study_design_scores_gemma":[0.003237317,0.0002408705,0.004806164,0.00002831475,0.00006567585,7.986615e-7,0.005497699,0.0006120721,0.01607107,0.02617517,0.9427537,0.0005110913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172706,0.000116675,0.009709728,0.009344669,0.002066447,0.0008829851,0.000297869,0.0002763328,0.06003469],"genre_scores_gemma":[0.9428571,0.0005260068,0.02629467,0.0007508932,0.001924624,0.000764735,0.003887461,0.00003265032,0.02296187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.83185,"threshold_uncertainty_score":0.5588389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924194821657401,"score_gpt":0.3332270644063133,"score_spread":0.2939851161897393,"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."}}