{"id":"W2034816826","doi":"10.1371/journal.pcbi.1002636","title":"Design and Implementation of a Genomics Field Trip Program Aimed at Secondary School Students","year":2012,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Outreach; Enthusiasm; Pace; Laptop; Variety (cybernetics); Curriculum; Field trip; Science education; Mathematics education; Field (mathematics); Medical education; Computer science; Psychology; Pedagogy; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008234287,0.0008294691,0.0005389692,0.0009209579,0.003193421,0.002080383,0.003951303,0.00170561,0.01443441],"category_scores_gemma":[0.007021676,0.0007988925,0.000645929,0.0004489333,0.001147849,0.0009470329,0.003140093,0.002228659,0.002880039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003219776,"about_ca_system_score_gemma":0.01304657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00588053,"about_ca_topic_score_gemma":0.01066551,"domain_scores_codex":[0.9949815,0.002296384,0.0001355211,0.0007450726,0.0003432932,0.001498236],"domain_scores_gemma":[0.9892414,0.001096578,0.000375388,0.0006282275,0.001736572,0.006921832],"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":[0.01309893,0.1876477,0.03208132,0.002991456,0.0002006646,0.002759904,0.03635188,0.01561399,0.048898,0.005931228,0.03526065,0.6191642],"study_design_scores_gemma":[0.01970794,0.2749183,0.1952344,0.001351607,0.0004871766,0.0007461081,0.1119482,0.03712931,0.04763482,0.008718309,0.301441,0.0006828206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238776,0.00009227226,0.06425936,0.002988744,0.0005040184,0.07933874,0.001580516,0.002342314,0.02501637],"genre_scores_gemma":[0.6340954,0.0001704238,0.2443958,0.002066454,0.00008813504,0.09792128,0.00149265,0.0003928352,0.01937706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443441,"threshold_uncertainty_score":0.04828799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702467023099701,"score_gpt":0.3494273452563156,"score_spread":0.3224026750253186,"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."}}