{"id":"W194356895","doi":"10.1007/978-1-4613-0103-5_19","title":"Data-Acquisition Systems","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Chassis; Data acquisition; Computer science; Context (archaeology); Power (physics); Engineering; Operating system; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000938457,0.001172712,0.0007411555,0.002202962,0.0008703127,0.003548432,0.001741977,0.001043525,0.1296623],"category_scores_gemma":[0.001725102,0.0007031133,0.0004366652,0.003222496,0.0005337017,0.004147791,0.001982206,0.001406485,0.1068868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006886687,"about_ca_system_score_gemma":0.0009390044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218157,"about_ca_topic_score_gemma":0.001123269,"domain_scores_codex":[0.9991896,0.00008197127,0.00005043288,0.0002046457,0.0004169945,0.0000563985],"domain_scores_gemma":[0.9991077,0.0001738792,0.00002810393,0.0002907847,0.0003455829,0.00005392495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001045853,0.00008144409,0.000415095,0.0005017891,0.00002181465,0.00009756492,0.0002005963,0.0005408462,0.01108945,0.06353236,0.2852536,0.6381609],"study_design_scores_gemma":[0.00001697656,0.00003095896,0.0004103816,0.00008841577,0.00001695164,0.0002303411,0.00003684087,0.001968313,0.009963144,0.009268515,0.9779515,0.00001769841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003901707,0.008116949,0.3582609,0.00180108,0.001361315,0.0008483105,0.006388445,0.03769064,0.5816306],"genre_scores_gemma":[0.03482988,0.008156258,0.1642934,0.002195376,0.0007884385,0.00053099,0.01172558,0.00281988,0.7746602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1296623,"threshold_uncertainty_score":0.4337635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744161309112771,"score_gpt":0.2699059203684437,"score_spread":0.212464307277316,"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."}}