{"id":"W2540932497","doi":"","title":"Chapter 18. Seeing the graph vs. being the graph","year":2011,"lang":"en","type":"article","venue":"","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metaphor; Embodied cognition; Gesture; Notice; Situated; Salient; Graph; Mathematics education; Computer science; Psychology; Linguistics; Artificial intelligence; Theoretical computer 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":[0.0005225584,0.0004030126,0.0002578719,0.0005672781,0.002085565,0.003960842,0.0003872243,0.001141196,0.01673369],"category_scores_gemma":[0.00171735,0.0001755545,0.0003244368,0.0005638242,0.003819489,0.003211718,0.001292087,0.00214638,0.001921498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669197,"about_ca_system_score_gemma":0.00158541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613781,"about_ca_topic_score_gemma":0.004218654,"domain_scores_codex":[0.9995208,0.0001642076,0.00001866064,0.0001217056,0.0001163485,0.00005833634],"domain_scores_gemma":[0.9989164,0.0007844648,0.00006764499,0.0000400273,0.0001020389,0.00008942791],"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":[0.0001357421,0.0002423519,0.00935301,0.0008039089,0.00001669343,0.0004835128,0.1393477,0.0002423453,0.003144014,0.664488,0.04906311,0.1326796],"study_design_scores_gemma":[0.00001662149,0.000150594,0.0132866,0.001295364,0.00002389702,0.001110247,0.07114726,0.0002722793,0.002841585,0.08027244,0.8295599,0.00002308249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1603442,0.05113718,0.01477703,0.02575295,0.003328469,0.0002053296,0.0005534766,0.0000977702,0.7438037],"genre_scores_gemma":[0.7808458,0.0310759,0.007419396,0.002673561,0.0006719794,0.000291463,0.00033474,0.000168111,0.1765191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01673369,"threshold_uncertainty_score":0.05597985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0515357106581722,"score_gpt":0.3039718771751235,"score_spread":0.2524361665169513,"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."}}