{"id":"W3160601612","doi":"10.3390/educsci11050246","title":"Visual Representation Construction for Collective Reasoning in Elementary Science Classrooms","year":2021,"lang":"en","type":"article","venue":"Education Sciences","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation; University of Alberta","keywords":"Representation (politics); Meaning (existential); Science education; Visualization; Mathematics education; Visual thinking; Analytic reasoning; Visual reasoning; Psychology; Cognition; Computer science; Cognitive science; Deductive reasoning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006395459,0.0005880718,0.000487587,0.002453804,0.0042041,0.008981587,0.001483308,0.001748611,0.00475603],"category_scores_gemma":[0.01610198,0.0005251004,0.0008641211,0.001110791,0.01372103,0.006145037,0.008448083,0.002627385,0.0004101965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002401939,"about_ca_system_score_gemma":0.002148619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795723,"about_ca_topic_score_gemma":0.002373473,"domain_scores_codex":[0.9921041,0.005232542,0.0001663526,0.0006023863,0.001298582,0.0005960127],"domain_scores_gemma":[0.9882203,0.008329517,0.001060253,0.001259441,0.0005581892,0.0005723087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006480672,0.0001837507,0.005682454,0.0003528105,0.00002787225,0.002605143,0.7469133,0.002054177,0.01317913,0.1681223,0.001545225,0.05926909],"study_design_scores_gemma":[0.0001204861,0.0003534674,0.01744961,0.0008838262,0.0001109604,0.004924421,0.5217628,0.01622807,0.01825319,0.2520237,0.1676927,0.000196748],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7290948,0.0009758528,0.1568826,0.004174208,0.0001229745,0.0001862309,0.00003766144,0.0005527731,0.1079729],"genre_scores_gemma":[0.9803858,0.0001399123,0.01718236,0.00004598223,0.0000108783,0.00004788299,0.00001554518,0.00006373476,0.00210788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008981587,"threshold_uncertainty_score":0.03382283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959137721249565,"score_gpt":0.4771785065468785,"score_spread":0.4175871293343829,"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."}}