{"id":"W1511774911","doi":"10.7494/cmms.2011.1.0315","title":"Computer modeling of pneumatic formation of superthin fibres","year":2011,"lang":"en","type":"article","venue":"Computer Methods in Materials Science.","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer graphics (images); Materials science","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":[0.0001529488,0.0003324651,0.0004043331,0.0003119421,0.000403242,0.0006283674,0.000648984,0.00104592,0.00203287],"category_scores_gemma":[0.000605763,0.0002389407,0.0004555557,0.000327406,0.0004618581,0.0003999681,0.0002968555,0.0003775154,0.0002065278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006542266,"about_ca_system_score_gemma":0.0006441692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007123856,"about_ca_topic_score_gemma":0.003404942,"domain_scores_codex":[0.9999145,0.00002017325,0.000003912822,0.00001469609,0.00002842942,0.00001812733],"domain_scores_gemma":[0.9996564,0.0001888556,0.000046029,0.00002811856,0.00005397655,0.00002663289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000205013,0.00001437568,0.0004986611,0.00001702974,0.000005822805,0.00005873499,0.000029721,0.9931719,0.003155557,0.001702887,0.0000732062,0.001251547],"study_design_scores_gemma":[0.000002652864,0.000006989186,0.0001357567,0.00000111305,0.000001121445,0.00000793315,0.000003727918,0.9991572,0.0003530436,0.0001937609,0.000135068,0.000001570634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7738104,0.0003388585,0.1998333,0.0002981565,0.00005213172,0.00007989159,0.0005686188,0.0007159118,0.02430267],"genre_scores_gemma":[0.9783691,0.000155447,0.01741988,0.00002688009,0.000007712372,0.0001040728,0.0002417693,0.00005469358,0.003620421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007123856,"threshold_uncertainty_score":0.01416481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1410479122042981,"score_gpt":0.3760843989047976,"score_spread":0.2350364867004995,"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."}}