{"id":"W1679414388","doi":"10.5539/res.v7n9p68","title":"The Problems of Information Technologies Effectiveness in Humanities Education","year":2015,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Foreign Language Teaching Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Argumentative; Context (archaeology); Adaptation (eye); Knowledge management; Computer science; Modernization theory; Ideology; Information technology; Engineering ethics; Management science; Engineering; Epistemology; Psychology; Political science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009834411,0.00005386494,0.000200007,0.000058707,0.0001075248,0.00001024518,0.0002288694,0.00001057467,5.845126e-7],"category_scores_gemma":[0.009315797,0.00003343516,0.0000315963,0.0002469046,0.0004562436,0.0002204718,0.00009213906,0.0000655702,0.000005384111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005626427,"about_ca_system_score_gemma":0.00008865284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392012,"about_ca_topic_score_gemma":0.00006305555,"domain_scores_codex":[0.9976053,0.001772247,0.0003069339,0.00004712065,0.0001834512,0.00008498003],"domain_scores_gemma":[0.9989072,0.0003857987,0.0002549338,0.0001426292,0.0003025348,0.000006893956],"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":[0.000006057979,0.00004382874,0.001124711,0.01073343,0.0000439432,2.939023e-7,0.06267341,0.00000469849,0.00001392529,0.1987092,0.00168182,0.7249647],"study_design_scores_gemma":[0.0002639894,0.0001782885,0.007096163,0.03813731,0.00006528989,0.000001146919,0.4084966,0.000001037089,0.0001684268,0.01721923,0.5281552,0.0002173582],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008161689,0.7064885,0.00005563978,0.0003215553,0.0001993314,0.0006754282,0.000001097299,0.00006889492,0.2840278],"genre_scores_gemma":[0.5061532,0.4915787,0.001898829,0.00006783128,0.00004641433,0.00006341629,0.000002428124,0.000008947652,0.0001802795],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7247473,"threshold_uncertainty_score":0.9990292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032457866021718,"score_gpt":0.4171535122421678,"score_spread":0.313907725639996,"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."}}