{"id":"W1975499404","doi":"10.1021/ed082p425","title":"Teaching Data Acquisition. An Undergraduate Experiment in the Advanced Analytical Chemistry Laboratory","year":2005,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Process (computing); Data acquisition; GRASP; Visualization; Software; Data science; Human–computer interaction; Software engineering; Artificial intelligence; Programming language","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":[0.002309044,0.00100895,0.0009523773,0.0005542897,0.0009303,0.001408813,0.00177162,0.001309214,0.04559182],"category_scores_gemma":[0.006437499,0.000446266,0.0005450213,0.0006213827,0.0008574585,0.001600334,0.00233494,0.002773812,0.0257184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721419,"about_ca_system_score_gemma":0.001493072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004682975,"about_ca_topic_score_gemma":0.0005646895,"domain_scores_codex":[0.9988593,0.0001867255,0.00006298019,0.0003226436,0.0004821545,0.00008622619],"domain_scores_gemma":[0.996992,0.0008977296,0.0001367209,0.0006265182,0.0006446121,0.0007023971],"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":[0.0009348185,0.002344077,0.00216118,0.001678636,0.00002908355,0.0002830589,0.001150014,0.001378812,0.1257385,0.01522288,0.09046899,0.75861],"study_design_scores_gemma":[0.0006375428,0.003418842,0.005936956,0.0005794108,0.00008682309,0.001446501,0.0006443982,0.01311726,0.1159187,0.04560802,0.8124177,0.0001879289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03591236,0.00162384,0.84764,0.006717819,0.004069921,0.003134744,0.002550354,0.0157761,0.08257492],"genre_scores_gemma":[0.1037721,0.002284638,0.8180697,0.004883305,0.0009050866,0.002601773,0.001743358,0.001509201,0.0642307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04559182,"threshold_uncertainty_score":0.1525198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009295812031973154,"score_gpt":0.3017057833504888,"score_spread":0.2924099713185156,"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."}}