{"id":"W4381547943","doi":"10.1016/j.ohx.2023.e00445","title":"Open source scientific bottle roller","year":2023,"lang":"en","type":"article","venue":"HardwareX","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bottle; Flexibility (engineering); Open source; Computer science; Process engineering; Automotive engineering; Computer hardware; Engineering; Mechanical engineering; Software; Operating system; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001948516,0.001316507,0.0009943277,0.002745826,0.0007081503,0.001689633,0.002145539,0.001630472,0.03621538],"category_scores_gemma":[0.003431776,0.0007864854,0.001246796,0.001461929,0.0005708294,0.001890237,0.001409485,0.0009962688,0.01940003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037707,"about_ca_system_score_gemma":0.0009302527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003949433,"about_ca_topic_score_gemma":0.0006433642,"domain_scores_codex":[0.9962026,0.0002278734,0.0002448669,0.000461756,0.002718369,0.0001444581],"domain_scores_gemma":[0.9973539,0.0005143537,0.0004075438,0.0006069149,0.0009958961,0.000121424],"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":[0.001006775,0.000461021,0.001584072,0.002348036,0.0001028594,0.0006322602,0.000363955,0.002116482,0.5155346,0.007595419,0.0406132,0.4276414],"study_design_scores_gemma":[0.0001139248,0.0007402935,0.003423359,0.0001673528,0.0001431938,0.001494611,0.00008368529,0.01011681,0.4489302,0.001664005,0.5329354,0.0001871657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08472921,0.007607685,0.7204413,0.0006901101,0.002015797,0.002848458,0.009168275,0.06256422,0.1099348],"genre_scores_gemma":[0.2460829,0.006049358,0.5444332,0.0009642834,0.0006584428,0.004160483,0.0168437,0.008667263,0.1721404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03621538,"threshold_uncertainty_score":0.1211526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255257986021422,"score_gpt":0.250350624121494,"score_spread":0.2177980442612798,"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."}}