{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002380643,0.00006263939,0.0001206265,0.000155943,0.00001004219,0.00003326306,0.00005942316,0.00004074126,0.00002494526],"category_scores_gemma":[0.00003759182,0.00005854702,0.0000222024,0.00004711366,0.00001023247,0.000340926,0.00001114705,0.00007672286,0.00000419026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141372,"about_ca_system_score_gemma":0.000009367481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001770566,"about_ca_topic_score_gemma":2.783198e-7,"domain_scores_codex":[0.9993429,0.0000228472,0.0003440032,0.00004630376,0.0001939113,0.00005007785],"domain_scores_gemma":[0.9994057,0.0001129587,0.0001988682,0.00003747826,0.0002180381,0.00002691272],"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":[0.00002574046,0.0000423241,0.00291415,0.0001720049,0.0002368456,0.000004990839,0.0005540793,0.6606997,0.08936442,0.000644553,0.00006259453,0.2452786],"study_design_scores_gemma":[0.0004231415,0.00004579046,0.01467793,0.0001863591,0.00002396314,0.00009880066,0.00002427087,0.9801087,0.003304202,0.001011166,0.0000349724,0.00006065523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780936,0.0003168303,0.2178187,0.0002277269,0.000454884,0.00008684829,0.000001982601,0.00002894154,0.0001281287],"genre_scores_gemma":[0.963097,0.0004371374,0.03637868,0.00001845284,0.00004695332,5.436845e-7,0.000005084622,0.000009538195,0.000006592011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319409,"threshold_uncertainty_score":0.2387478,"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."}}