{"id":"W2153785254","doi":"10.6000/1929-6037.2012.01.01.6","title":"Full-Factorial Experimental Design to Determine the Impacts of Influential Parameters on the Porosity and Mechanical Strength of LLDEP Microporous Membrane Fabricated via Thermally Induced Phase Separation Method","year":2012,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microporous material; Porosity; Materials science; Diluent; Factorial experiment; Polymer; Membrane; Composite material; Chemical engineering; Fractional factorial design; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407179,0.0002490834,0.0004876075,0.0002487905,0.0001615634,0.00002925894,0.00040725,0.0003034928,0.0001139465],"category_scores_gemma":[0.0003937668,0.0001524871,0.00008494396,0.0004799576,0.000311969,0.0003757868,0.00016218,0.0003707779,0.000005803451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007386941,"about_ca_system_score_gemma":0.00003045499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005250996,"about_ca_topic_score_gemma":0.00001382278,"domain_scores_codex":[0.9977701,0.0003734709,0.0008863177,0.0002265256,0.0004541166,0.0002894382],"domain_scores_gemma":[0.9980794,0.0004257957,0.0009575367,0.000355907,0.00006997163,0.0001114251],"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":[0.00116718,0.0003333051,0.0001199162,0.000007030505,0.00006720109,0.000002308399,0.0009199629,0.0003059142,0.9887708,0.0002540338,0.00008944615,0.007962933],"study_design_scores_gemma":[0.001440351,0.003044368,0.0003543017,0.00001621934,0.00007753145,0.0001822791,0.0004704574,0.001194752,0.9927829,0.0002056811,0.00008357714,0.0001476166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827365,0.0001053099,0.01543335,0.0008591982,0.0001798562,0.0006182522,0.000006141436,0.000032028,0.00002940762],"genre_scores_gemma":[0.9936748,0.00005653616,0.006044074,0.0001414714,0.00004307094,0.00001697,0.000002284321,0.00001433903,0.000006506683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093829,"threshold_uncertainty_score":0.6218243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263012696702327,"score_gpt":0.3260679479981153,"score_spread":0.2934378210310921,"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."}}