{"id":"W2354768759","doi":"","title":"Design of Tablet Encapsulation Testing System Based on DSP and Image Recognition","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Encapsulation (networking); Complex programmable logic device; Embedded system; Digital signal processing; Computer hardware; Artificial intelligence; Computer security","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":[0.0004161198,0.0006159569,0.0006054435,0.0008998652,0.0002893879,0.0005177112,0.001339912,0.000538229,0.005855787],"category_scores_gemma":[0.0007354323,0.0003298677,0.0002532954,0.0002770078,0.0002309471,0.0005897288,0.0002917105,0.0003585036,0.001919256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377683,"about_ca_system_score_gemma":0.0005731731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008741099,"about_ca_topic_score_gemma":0.0008445724,"domain_scores_codex":[0.9994076,0.00006657222,0.0000378088,0.0001372209,0.0003029048,0.00004792576],"domain_scores_gemma":[0.9994302,0.000119525,0.0000595602,0.00005477229,0.0002897435,0.00004615439],"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":[0.0007032343,0.0001846299,0.003457463,0.0005345523,0.00008449046,0.0004527046,0.0002688632,0.004835215,0.6750895,0.004097784,0.006330135,0.3039614],"study_design_scores_gemma":[0.0004379606,0.002239263,0.01044616,0.00008528925,0.0002581687,0.003706035,0.00009825031,0.1463823,0.7900465,0.00118564,0.0449427,0.0001718235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09885857,0.0005702587,0.8760031,0.0003207499,0.0002604715,0.001194838,0.0003406257,0.01146551,0.01098583],"genre_scores_gemma":[0.5839686,0.0003555029,0.39534,0.0004383516,0.0001421252,0.0008981602,0.0005711929,0.0003797233,0.0179064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005855787,"threshold_uncertainty_score":0.0195896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904722240388025,"score_gpt":0.2284096201885794,"score_spread":0.2093623977846991,"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."}}