{"id":"W4416885094","doi":"10.37665/srqxgvf57000","title":"Fine Feature Stencil Printing 0.3mm Pitch Components","year":2009,"lang":"","type":"article","venue":"Soldering and Reliability Conferences","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Stencil; Miniaturization; Solder paste; Feature (linguistics); Electronic component; Process (computing); Component (thermodynamics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086058,0.0006114911,0.0008244896,0.0001363351,0.0004279111,0.0005185561,0.0005325719,0.0006068604,0.000083943],"category_scores_gemma":[0.0003497217,0.0005387702,0.0001415407,0.0002491639,0.0003167845,0.0002342437,0.0003033015,0.0007240892,0.00001898276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006584221,"about_ca_system_score_gemma":0.00008973484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186685,"about_ca_topic_score_gemma":0.00002716795,"domain_scores_codex":[0.9972084,0.00009750611,0.0007051944,0.0008373906,0.0003229102,0.0008286324],"domain_scores_gemma":[0.9986644,0.0001565534,0.0001554008,0.0007026157,0.000153598,0.0001674673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001728231,0.0005831781,0.08040508,0.004636636,0.0003191105,0.00006578723,0.004101004,0.006331441,0.2252968,0.009789717,0.0006106186,0.6676878],"study_design_scores_gemma":[0.00268982,0.001484719,0.7399198,0.004654911,0.0003385525,0.00009859365,0.002011774,0.06447458,0.1188652,0.03911256,0.02236094,0.003988492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887916,0.002405823,0.000744373,0.003132899,0.001363202,0.0004283553,0.00001847743,0.001057976,0.002057228],"genre_scores_gemma":[0.9927511,0.00153141,0.005228403,0.00002516935,0.0002001379,0.0000100553,0.000008867707,0.00002685383,0.0002179907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6636993,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033796615497261,"score_gpt":0.2248821747381652,"score_spread":0.2045442085831926,"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."}}