{"id":"W2031465049","doi":"10.1145/1400181.1400199","title":"Crossroads for Canadian CS enrollment","year":2008,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Division of Mathematical Sciences","keywords":"Falling (accident); Computer science; Political science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.000301794,0.00004216985,0.00005856248,0.00004231268,0.0009650898,0.00002921732,0.02602702,0.00002315096,6.455674e-7],"category_scores_gemma":[0.002442926,0.00003324106,0.000063236,0.0001588279,0.0001208752,0.00006797192,0.00507545,0.000128802,0.000004966453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004225417,"about_ca_system_score_gemma":0.0001735695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039315,"about_ca_topic_score_gemma":0.003705772,"domain_scores_codex":[0.9995314,0.00008195575,0.0001080289,0.00008089099,0.00006782454,0.000129921],"domain_scores_gemma":[0.9815177,0.0002002417,0.00006381315,0.01811637,0.00005594238,0.00004590741],"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":[0.000008626891,0.0004712513,0.07782651,0.00004309661,0.0001496941,0.000001004659,0.04763643,0.001722782,0.0004691209,0.3032719,0.168151,0.4002486],"study_design_scores_gemma":[0.0001766098,0.00002685278,0.02251987,0.00001899875,0.000005096441,0.00001088378,0.00005408748,0.003351337,0.0001477318,0.007063278,0.966539,0.00008625283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1510809,0.005225471,0.09257641,0.7395894,0.001158499,0.001708765,0.00002430147,0.0005495746,0.008086714],"genre_scores_gemma":[0.6135402,0.00001555272,0.3859865,0.0001450637,0.000005738814,0.0000201069,0.000001382297,0.000002709923,0.0002828046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.798388,"threshold_uncertainty_score":0.9961967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606741004231647,"score_gpt":0.3105279375136514,"score_spread":0.224460527471335,"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."}}