{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315856,0.00008546665,0.00008412796,0.00007227757,0.000370148,0.00045026,0.000122199,0.00005408518,0.0000525342],"category_scores_gemma":[0.00001923959,0.0000861059,0.00002243042,0.0001818659,0.00005939175,0.001815869,0.00007706533,0.00008017998,0.00008400211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377094,"about_ca_system_score_gemma":0.0000351469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649265,"about_ca_topic_score_gemma":0.0003364086,"domain_scores_codex":[0.9991169,0.00001995242,0.0002283188,0.00008366242,0.0002839915,0.0002672013],"domain_scores_gemma":[0.9996415,0.000008928882,0.0001037357,0.00007689845,0.00008012879,0.00008878274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003820698,0.000007485424,0.0001349631,0.00002957113,0.00001223325,0.000003031114,0.001747317,0.01437664,1.722704e-7,0.9713817,0.002910286,0.009392736],"study_design_scores_gemma":[0.0006503789,0.00002492191,0.002510272,0.00006490781,0.0000186312,9.503168e-7,0.00345149,0.007259246,0.00000292167,0.009487126,0.9763032,0.0002260149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01968723,0.0001187859,0.08777658,0.008087369,0.0007973768,0.00071763,0.00001481623,0.0002199996,0.8825802],"genre_scores_gemma":[0.9875138,0.000110523,0.008130913,0.001317868,0.00008183734,0.0000108445,0.00003070551,0.000003198829,0.002800256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9733928,"threshold_uncertainty_score":0.4341868,"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."}}