{"id":"W1976969478","doi":"10.1016/j.procs.2014.07.002","title":"FNC 2014 Preface","year":2014,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001688848,0.001077595,0.0007338819,0.003829914,0.002109322,0.004517952,0.001209136,0.001488316,0.2763189],"category_scores_gemma":[0.008837204,0.0002868557,0.0006168507,0.002015394,0.0005624351,0.001806597,0.001929219,0.00237054,0.2051995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003781078,"about_ca_system_score_gemma":0.003218371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009905403,"about_ca_topic_score_gemma":0.01308099,"domain_scores_codex":[0.9991185,0.00009520579,0.00005052663,0.0001631172,0.0004811302,0.00009150299],"domain_scores_gemma":[0.9932947,0.0004051093,0.000159416,0.0004100469,0.004446512,0.001284207],"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":[0.00002746808,0.00001412072,0.0000715305,0.00007516489,0.000002269506,0.00002362459,0.00001375869,0.0001185293,0.0001491001,0.001566206,0.9581447,0.0397935],"study_design_scores_gemma":[0.000004878133,0.0000147763,0.000365541,0.0001248924,0.00000280208,0.00003568821,0.0000280284,0.0001044852,0.0001297371,0.001499099,0.9976835,0.000006486055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001460046,0.01335437,0.0061809,0.04231837,0.5319242,0.0003930687,0.006990851,0.00122294,0.3961552],"genre_scores_gemma":[0.005873097,0.005371843,0.001651606,0.00409604,0.056266,0.0001580557,0.003669965,0.0008115799,0.9221018],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2763189,"threshold_uncertainty_score":0.9243788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006470212024715474,"score_gpt":0.212534285859925,"score_spread":0.2060640738352095,"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."}}