{"id":"W4366308795","doi":"10.2139/ssrn.4422138","title":"Hot Melt Centrifugal Spinning Apparatus for Thermoplastic Microfibres Production","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Thermoplastic; Spinning; Production (economics); Materials science; Composite material; Mechanical engineering; Engineering drawing; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005258517,0.0004330236,0.000654589,0.001056926,0.001572881,0.0003981641,0.0008358861,0.0005208165,0.007026814],"category_scores_gemma":[0.0003269182,0.0003613211,0.0003945756,0.0007093631,0.0003756274,0.0005086944,0.0004543898,0.001256082,0.00247295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016175,"about_ca_system_score_gemma":0.0005614271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006136365,"about_ca_topic_score_gemma":0.001251808,"domain_scores_codex":[0.9996091,0.00002983124,0.00002748183,0.0001021452,0.0001830488,0.00004846597],"domain_scores_gemma":[0.9995778,0.00007794851,0.00005138867,0.0001411247,0.00009244705,0.0000592802],"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":[0.000173364,0.00008324744,0.0003396283,0.0001247394,0.00001163306,0.00005940559,0.00009009895,0.0001458859,0.9810744,0.0007565161,0.0006684745,0.01647272],"study_design_scores_gemma":[0.00003788928,0.0002292206,0.006413708,0.00001049548,0.00003080727,0.0002511079,0.00002561056,0.002102041,0.9827922,0.0001858207,0.00789661,0.00002450262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210543,0.002044698,0.16156,0.0003025041,0.0003755926,0.0006064481,0.002555091,0.003569265,0.007932032],"genre_scores_gemma":[0.8625314,0.001177058,0.1227822,0.00006916694,0.0002856457,0.0005176017,0.00236645,0.0004019539,0.009868564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007026814,"threshold_uncertainty_score":0.02350706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915737484893877,"score_gpt":0.2339105948827015,"score_spread":0.2147532200337627,"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."}}