{"id":"W4386869774","doi":"10.24918/cs.2023.37","title":"An Interactive Protocol for In-Classroom DNA Extraction","year":2023,"lang":"en","type":"article","venue":"CourseSource","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Protocol (science); Variety (cybernetics); Adventure; Inclusion (mineral); Process (computing); Mathematics education; Multimedia; Artificial intelligence; Psychology; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004779344,0.001622663,0.001126904,0.001662479,0.001910873,0.001365417,0.002080018,0.002111804,0.4025007],"category_scores_gemma":[0.01212382,0.001342656,0.0006872877,0.001137528,0.0008535233,0.001263814,0.003056384,0.003564131,0.1462272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009814042,"about_ca_system_score_gemma":0.003053073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008362054,"about_ca_topic_score_gemma":0.002443,"domain_scores_codex":[0.9965564,0.001213145,0.0004026146,0.0006366562,0.0008734076,0.0003177932],"domain_scores_gemma":[0.991971,0.003268648,0.0002330557,0.002149516,0.00186415,0.0005136291],"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":[0.001013585,0.0007187976,0.0004968814,0.001817419,0.00002671467,0.0006540478,0.001079492,0.000619803,0.04936633,0.01213374,0.7730546,0.1590185],"study_design_scores_gemma":[0.0002701572,0.0002473906,0.0008664905,0.0003971413,0.00001081647,0.0003692414,0.0002367112,0.0009295258,0.01573354,0.004402303,0.9764591,0.0000774986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008432659,0.00133904,0.6227483,0.00410936,0.007018586,0.06373059,0.05877047,0.07203748,0.1618135],"genre_scores_gemma":[0.0184788,0.001056888,0.5539938,0.004367302,0.0005227511,0.1804465,0.02414868,0.008868359,0.2081168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4025007,"threshold_uncertainty_score":0.8522603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242622256974599,"score_gpt":0.5294694742735041,"score_spread":0.4052072485760442,"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."}}