{"id":"W2800970763","doi":"10.15695/jso.v1i2.4550","title":"Improving Access to Hands-On STEM Education using a Mobile Laboratory","year":2018,"lang":"en","type":"article","venue":"The Journal of STEM Outreach","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute","funders":"","keywords":"Outreach; Preparedness; Science education; Curriculum; Resource (disambiguation); Medical education; Psychology; Pedagogy; Medicine; Political science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003736987,0.00009905313,0.0001222087,0.000144017,0.00006133231,0.00005658776,0.0002608671,0.00004988444,0.00001330432],"category_scores_gemma":[0.000006868931,0.00006615958,0.00002906524,0.0002937831,0.00002172816,0.0001874162,0.00002224462,0.0001674119,0.00002126404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572547,"about_ca_system_score_gemma":0.0000983265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001527067,"about_ca_topic_score_gemma":0.000002183259,"domain_scores_codex":[0.9993567,0.00002592237,0.0002365935,0.00005550926,0.0001795822,0.0001456692],"domain_scores_gemma":[0.9994529,0.0000421945,0.00007455646,0.0001574578,0.0001537683,0.0001191102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001685813,0.0003401753,0.001188901,0.0007806119,0.0002102392,0.000003725298,0.009664826,0.02969449,0.159644,0.00007110601,0.03874528,0.7594881],"study_design_scores_gemma":[0.00438843,0.008589261,0.03032391,0.006300392,0.001028747,0.0008025274,0.01481755,0.1705098,0.6411166,0.0002472649,0.1189513,0.002924264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920851,0.0003196429,0.005338776,0.0001267678,0.001757216,0.0001078824,0.000002130643,0.00004209111,0.000220365],"genre_scores_gemma":[0.9983834,0.00001748422,0.0002701015,0.0001108475,0.001095488,0.000004916537,3.955534e-7,0.00002277159,0.00009457915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7565638,"threshold_uncertainty_score":0.269791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938790274784287,"score_gpt":0.2691073093444577,"score_spread":0.2497194065966148,"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."}}