{"id":"W4250804186","doi":"10.1017/s1472669604002038","title":"Aiming High and Hitting its Target – CALL Conference, May 2004","year":2004,"lang":"en","type":"article","venue":"Legal Information Management","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001152702,0.0006977564,0.0003556254,0.0008777731,0.01640579,0.004716397,0.001279449,0.005152777,0.08785273],"category_scores_gemma":[0.003227585,0.0003998593,0.000385522,0.0005491708,0.0009220831,0.0008837486,0.001110697,0.004792703,0.01724743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01588672,"about_ca_system_score_gemma":0.01311993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.731492,"about_ca_topic_score_gemma":0.9654078,"domain_scores_codex":[0.999137,0.00006996297,0.00001342934,0.0000633301,0.000356117,0.0003601343],"domain_scores_gemma":[0.9974672,0.0001286497,0.00004832653,0.0000580465,0.001278901,0.001018997],"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":[0.0000674905,0.0000441296,0.002104107,0.00001001881,0.000007240835,0.0001957986,0.0004465896,0.00007316557,0.0003490857,0.0006862406,0.9878065,0.008209592],"study_design_scores_gemma":[0.00001421191,0.00005825292,0.01711592,0.00003692069,0.0000106687,0.00007673811,0.003323219,0.000284978,0.0005392914,0.0002325688,0.9782782,0.00002909011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05659163,0.004247607,0.001986728,0.2387727,0.02916186,0.0006132835,0.005987892,0.00194223,0.660696],"genre_scores_gemma":[0.03338754,0.0002595353,0.0003808499,0.006304706,0.0005601901,0.0000416035,0.0005878491,0.0000960106,0.9583817],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.731492,"threshold_uncertainty_score":0.5401786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009985440370547159,"score_gpt":0.2427600933659108,"score_spread":0.2327746529953637,"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."}}