{"id":"W7097987370","doi":"","title":"Communications Lab, University of Toronto Introduction to Lab Instruments","year":2016,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Instrumentation (computer programming); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001716875,0.001630262,0.0008264395,0.00168442,0.001222614,0.003298601,0.00159027,0.001450221,0.3452998],"category_scores_gemma":[0.003391727,0.001185532,0.0003842344,0.001321878,0.0007877439,0.00177177,0.001230973,0.002287105,0.1734505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208078,"about_ca_system_score_gemma":0.002647047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007550131,"about_ca_topic_score_gemma":0.01221171,"domain_scores_codex":[0.9983594,0.0001239849,0.00007324234,0.0002514177,0.00106544,0.0001266565],"domain_scores_gemma":[0.9967566,0.0006629759,0.0001092294,0.0004460022,0.001684271,0.0003409246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002227667,0.0001903089,0.0007742748,0.0005027195,0.000013162,0.0002338351,0.000325982,0.0009093947,0.0348031,0.01269702,0.6787097,0.2706177],"study_design_scores_gemma":[0.00003268215,0.000140508,0.001154631,0.0001648004,0.000008461578,0.0003276656,0.0001002709,0.001484048,0.005789764,0.002096874,0.9886614,0.00003890856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004670684,0.009862828,0.4441206,0.008730961,0.006382199,0.001579748,0.007931543,0.04507906,0.4716423],"genre_scores_gemma":[0.02556247,0.01039673,0.1512685,0.002599932,0.002903362,0.001109626,0.004832788,0.004330646,0.7969959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3452998,"threshold_uncertainty_score":0.9338504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006071930554242332,"score_gpt":0.2008971127994346,"score_spread":0.1948251822451922,"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."}}