{"id":"W2902995515","doi":"10.22318/cscl2015.302","title":"The Use of Visual Evidence for Planning and Argumentation.","year":2015,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Argumentation theory; Computer science; Artificial intelligence; Management science; Human–computer interaction; Epistemology; Engineering; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251076,0.00005992194,0.00009854685,0.00003048339,0.000544457,0.0001968261,0.00008291749,0.00003380198,0.000004613373],"category_scores_gemma":[0.00197647,0.00004825947,0.00001736665,0.000325544,0.0001835871,0.0003971878,0.00003163434,0.00007799325,8.28548e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003865574,"about_ca_system_score_gemma":0.0006471451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005693365,"about_ca_topic_score_gemma":0.00002784082,"domain_scores_codex":[0.9988444,0.0005087829,0.0001644607,0.0001350365,0.000199107,0.000148185],"domain_scores_gemma":[0.9958147,0.003062822,0.0001634462,0.00004909306,0.0008168523,0.0000931191],"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":[0.0004357632,0.0001226221,0.2891551,0.00005002092,0.0002210836,0.000005033799,0.2621917,0.0155315,0.0005833875,0.06405874,0.04769163,0.3199534],"study_design_scores_gemma":[0.0004909139,0.0004779102,0.02414072,0.0001129072,0.00002893572,8.492065e-7,0.0258726,0.01466502,0.0002790413,0.00116973,0.932589,0.0001723876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5193688,0.00262486,0.4683969,0.005793261,0.00154095,0.001242994,0.000007680482,0.00008694069,0.000937599],"genre_scores_gemma":[0.7545077,0.000184592,0.2392181,0.0003429064,0.000765872,0.0001002883,0.00001896402,0.00001769795,0.004843819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8848974,"threshold_uncertainty_score":0.4187578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3329974797088758,"score_gpt":0.4977817244041936,"score_spread":0.1647842446953178,"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."}}