{"id":"W4401286038","doi":"10.18260/1-2--46775","title":"Board 208: Breaking Through the Obstacles: Strategies and Support Helping Students Succeed in Computer Science","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California State University Long Beach; University of Northern Iowa; Concordia University; National Science Foundation","keywords":"Focus group; Workforce; Medical education; Population; Pilot test; Psychology; Test (biology); Qualitative research; Variety (cybernetics); Mathematics education; Computer science; Applied psychology; Medicine; Political science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.006586223,0.0004950841,0.000532923,0.001019045,0.00930781,0.005369868,0.002230333,0.001727443,0.0127024],"category_scores_gemma":[0.0220775,0.0003838165,0.0004041856,0.0008145556,0.003435419,0.003419467,0.007315077,0.003901371,0.00277108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977871,"about_ca_system_score_gemma":0.01225003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346772,"about_ca_topic_score_gemma":0.007359075,"domain_scores_codex":[0.9950588,0.002661128,0.0001282583,0.0003518348,0.0007567967,0.001043261],"domain_scores_gemma":[0.9760189,0.003888567,0.001869829,0.0005256872,0.001939155,0.01575796],"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":[0.0002143931,0.00337276,0.06465083,0.0007726389,0.00006380067,0.001838509,0.354729,0.0009645478,0.008360351,0.008073877,0.1877888,0.3691705],"study_design_scores_gemma":[0.00009552114,0.001066463,0.02809259,0.0004653489,0.00006107747,0.0002731979,0.7041516,0.001550343,0.001541346,0.005410222,0.2571968,0.00009542099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752284,0.0007940156,0.01040022,0.06888311,0.001689555,0.0007448427,0.00008157029,0.0005100876,0.04166818],"genre_scores_gemma":[0.9628985,0.000957497,0.009133195,0.005823191,0.0002333504,0.0005761434,0.0001409564,0.0001076527,0.02012956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127024,"threshold_uncertainty_score":0.04249376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260094931489499,"score_gpt":0.3177100954724426,"score_spread":0.2951091461575476,"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."}}