{"id":"W7032783914","doi":"","title":"Editorial","year":2014,"lang":"en","type":"article","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marie curie; Active listening; Reciprocal","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":[0.0004373294,0.0002159546,0.000288338,0.0001285021,0.0009653644,0.00004688154,0.00193141,0.0001820208,0.00003387153],"category_scores_gemma":[0.00004064282,0.000243273,0.0002397564,0.0003941992,0.0008292908,0.0008012607,0.0002868223,0.0003643983,0.00002536858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345503,"about_ca_system_score_gemma":0.0007162828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006020532,"about_ca_topic_score_gemma":0.00007445141,"domain_scores_codex":[0.9982122,0.00009995094,0.0002355871,0.0004406687,0.0007221156,0.0002895192],"domain_scores_gemma":[0.9982407,0.0001736986,0.0002819009,0.0006709321,0.0004527605,0.0001799738],"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":[0.00006682345,0.0003028065,0.0004466119,0.00008937098,0.0001598433,0.00003891927,0.001715414,0.02043125,0.01409629,0.9571542,0.00382264,0.001675842],"study_design_scores_gemma":[0.01151307,0.003077708,0.2454311,0.001612808,0.0009212414,0.0007933936,0.03726605,0.159392,0.01362421,0.06619339,0.4550698,0.005105201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2596138,0.0001382331,0.6467136,0.001309186,0.01658458,0.0004012687,0.00004391449,0.0002234325,0.074972],"genre_scores_gemma":[0.9810775,0.00005304466,0.01670935,0.0000102958,0.001532232,6.958708e-8,0.000007219644,0.000006298711,0.0006040195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8909608,"threshold_uncertainty_score":0.9920384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006539765126074137,"score_gpt":0.1632970539871253,"score_spread":0.1567572888610512,"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."}}