{"id":"W4237724588","doi":"10.5571/synth.5.126","title":"Spinning process using robot technology","year":2012,"lang":"en","type":"article","venue":"Synthesiology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; Canadian Institute for Advanced Research","keywords":"Spinning; Process (computing); Robot; Computer science; Materials science; Process engineering; Artificial intelligence; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004121158,0.0004548478,0.0003789309,0.0008713636,0.0008551262,0.00112944,0.0003777142,0.0006485645,0.004506623],"category_scores_gemma":[0.000427111,0.0002865184,0.0005069576,0.0005742925,0.0008199262,0.001097114,0.0006347864,0.0005841102,0.00112316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305925,"about_ca_system_score_gemma":0.0009967991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006438101,"about_ca_topic_score_gemma":0.000788601,"domain_scores_codex":[0.9994512,0.00008713244,0.00003556583,0.0001268735,0.0002636238,0.00003548091],"domain_scores_gemma":[0.9997254,0.0001029035,0.00004485231,0.00003762652,0.00007190348,0.00001735859],"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":[0.0002933151,0.0001260048,0.002276132,0.0009230424,0.00008398267,0.0007302834,0.001126232,0.01009052,0.5747898,0.09286071,0.003002483,0.3136975],"study_design_scores_gemma":[0.0001422891,0.001471054,0.009482744,0.0001603607,0.0001975848,0.001907951,0.0008563237,0.06723142,0.7029533,0.02621663,0.1891537,0.0002266455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2965812,0.006757252,0.5528548,0.001118402,0.001206582,0.0004800913,0.0001699711,0.001532051,0.1392997],"genre_scores_gemma":[0.7211743,0.002718084,0.232386,0.0002826152,0.0002582606,0.0002669226,0.0001291447,0.00009102838,0.04269362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004506623,"threshold_uncertainty_score":0.01507616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419555136094865,"score_gpt":0.2608017220520147,"score_spread":0.236606170691066,"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."}}