{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03220936,0.000837991,0.0004930527,0.008716764,0.001390672,0.009329239,0.002169269,0.002909055,0.01179892],"category_scores_gemma":[0.1916685,0.0005967419,0.0008042457,0.002966286,0.005202496,0.01170896,0.005346793,0.001735759,0.001690676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523267,"about_ca_system_score_gemma":0.003416423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064917,"about_ca_topic_score_gemma":0.003320187,"domain_scores_codex":[0.9607093,0.03280253,0.001692281,0.001093536,0.003380537,0.0003219036],"domain_scores_gemma":[0.7686883,0.2059312,0.004823364,0.01277222,0.006256803,0.001528202],"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":[0.0006096722,0.0002584961,0.002790415,0.002516622,0.0001418311,0.0007395328,0.01269166,0.00369637,0.002753446,0.2014101,0.009449401,0.7629424],"study_design_scores_gemma":[0.00042503,0.0006159059,0.004215902,0.009956478,0.0003236487,0.001830064,0.01289083,0.03006899,0.01431501,0.7214373,0.203674,0.0002468561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05019437,0.0115755,0.7472363,0.01087005,0.0006846815,0.00149744,0.0007468027,0.001919956,0.1752748],"genre_scores_gemma":[0.4489327,0.003629385,0.5390624,0.0003783915,0.00009711815,0.0006954698,0.0003554993,0.0002099163,0.006639129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03220936,"threshold_uncertainty_score":0.1703414,"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."}}