{"id":"W32877401","doi":"10.1371/journal.pmed.1003283","title":"Computer science laboratory improvements","year":2006,"lang":"en","type":"article","venue":"Journal of computing sciences in colleges","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; International Labour Organisation; UNICEF","keywords":"Class (philosophy); Computer science; Mathematics education; Coding (social sciences); Multimedia; Artificial intelligence; Psychology; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003048796,0.001143695,0.0006200934,0.002261982,0.001758116,0.002997285,0.001691668,0.0008493933,0.4940663],"category_scores_gemma":[0.01280318,0.0003337484,0.0008470575,0.001914817,0.0006319499,0.001964134,0.003624812,0.001737546,0.2218239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737483,"about_ca_system_score_gemma":0.00444189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219467,"about_ca_topic_score_gemma":0.00468573,"domain_scores_codex":[0.9963535,0.0006068596,0.0002420156,0.0008350144,0.001542303,0.0004202905],"domain_scores_gemma":[0.9887391,0.001280861,0.0003737941,0.002960349,0.004802457,0.001843409],"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":[0.0005881462,0.001594033,0.006429365,0.000392116,0.00003522097,0.000418071,0.0007110582,0.0007204067,0.009042934,0.0130034,0.3555698,0.6114955],"study_design_scores_gemma":[0.000108801,0.0004780302,0.008617329,0.000134328,0.00002081727,0.0004456704,0.0003099884,0.001201149,0.004777852,0.003161436,0.9807052,0.00003925127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04135581,0.001437069,0.03822165,0.01428542,0.005711176,0.0022369,0.01111012,0.02033689,0.8653051],"genre_scores_gemma":[0.1265654,0.001938237,0.04636079,0.004294356,0.001496611,0.001912153,0.01259457,0.00205773,0.8027802],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4940663,"threshold_uncertainty_score":0.721653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004603297299414787,"score_gpt":0.2394719277919976,"score_spread":0.2348686304925828,"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."}}