{"id":"W2963594636","doi":"","title":"Design and Fabrication of Automatic Paper Recycling Machine","year":2019,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spare part; Dirt; Task (project management); Computer science; Schematic; Manufacturing engineering; Engineering; Mechanical engineering; Systems engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003902704,0.0005043415,0.0006659153,0.0007297025,0.0005718787,0.001082353,0.001968426,0.001185719,0.006671753],"category_scores_gemma":[0.0004972023,0.0005751435,0.000609386,0.0003407899,0.0003739512,0.0006590261,0.0004866827,0.0004482878,0.002876754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019655,"about_ca_system_score_gemma":0.0008697846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007442609,"about_ca_topic_score_gemma":0.0005954933,"domain_scores_codex":[0.9992798,0.00004447922,0.00004424991,0.0001925783,0.000370607,0.00006838707],"domain_scores_gemma":[0.9996349,0.00004266775,0.00006317701,0.00005692532,0.0001692164,0.00003319284],"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":[0.0003936322,0.000224544,0.00390511,0.001871325,0.0001074422,0.001570105,0.0005937493,0.05883664,0.505596,0.0142889,0.01367683,0.3989358],"study_design_scores_gemma":[0.0001862001,0.002524901,0.008827479,0.0002265174,0.0002184427,0.004675915,0.0003496817,0.3413287,0.4261062,0.003264715,0.212024,0.00026724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0464495,0.0007356898,0.9195063,0.0004117519,0.0005573164,0.0005060874,0.0002228893,0.007555389,0.0240552],"genre_scores_gemma":[0.4844001,0.0004718727,0.4877111,0.0001932986,0.0001003157,0.0005087773,0.0003102057,0.0001914997,0.02611277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006671753,"threshold_uncertainty_score":0.02231926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00937278498597074,"score_gpt":0.223175628951389,"score_spread":0.2138028439654182,"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."}}