{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007764844,0.0005618221,0.0008155738,0.003798867,0.01851537,0.009865215,0.003971964,0.004057244,0.05557958],"category_scores_gemma":[0.03914306,0.0005679723,0.001294083,0.005367159,0.005209274,0.005144465,0.005790702,0.009834452,0.003382267],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1504143,"about_ca_system_score_gemma":0.3400087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99214,"about_ca_topic_score_gemma":0.9959756,"domain_scores_codex":[0.9847159,0.0010879,0.000381052,0.0009869891,0.004951873,0.007876269],"domain_scores_gemma":[0.937741,0.002835996,0.001645032,0.0009780388,0.03231684,0.02448305],"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":[0.0003110457,0.0001260249,0.04949101,0.0003453353,0.00006508012,0.0002234514,0.003874812,0.001032014,0.0006572471,0.2245778,0.5700173,0.149279],"study_design_scores_gemma":[0.0001546337,0.0001338002,0.1776376,0.001459414,0.0001871031,0.0002239119,0.01522308,0.002004412,0.001417565,0.03129111,0.7699912,0.0002761091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06702137,0.004413512,0.002468611,0.751454,0.004455141,0.0001138522,0.003137976,0.0005148367,0.1664207],"genre_scores_gemma":[0.7544337,0.00413707,0.004067773,0.1120191,0.001197272,0.000106865,0.001943138,0.0004619439,0.121633],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8495858,"threshold_uncertainty_score":0.985399,"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."}}