{"id":"W4367316643","doi":"10.1080/00220671.2023.2203092","title":"Technology and early mathematics skills: Effectiveness of I Love Math with Robots","year":2023,"lang":"en","type":"article","venue":"The Journal of Educational Research","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Context (archaeology); Robot; Mathematics education; Cognition; Intervention (counseling); Control (management); Psychology; Developmental psychology; Computer science; Artificial intelligence","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":[0.0005836419,0.0002566768,0.0002479557,0.0002781131,0.0002315047,0.0004815614,0.0002636022,0.0003238972,0.00308692],"category_scores_gemma":[0.002951907,0.0001387294,0.0004658359,0.0001452578,0.0003288735,0.0004184315,0.0004263218,0.0004015786,0.0002372036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291492,"about_ca_system_score_gemma":0.0004238637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350525,"about_ca_topic_score_gemma":0.001660666,"domain_scores_codex":[0.9994716,0.0001935963,0.00003975661,0.00009897584,0.0001204595,0.00007564102],"domain_scores_gemma":[0.9987561,0.0005079733,0.0003254107,0.00006443799,0.00006964811,0.0002764558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01103137,0.06347045,0.4074345,0.003767549,0.0008920961,0.0009108995,0.01482937,0.0009512129,0.03823404,0.001525774,0.002378605,0.4545742],"study_design_scores_gemma":[0.0004874215,0.03526799,0.9434187,0.0003305717,0.0005252781,0.0004169409,0.003497577,0.0004466156,0.00955727,0.000298488,0.005718389,0.00003479412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99777,0.0003700823,0.00007565165,0.0000725625,0.000009348028,0.00002296405,0.00002444515,0.000007161894,0.001647761],"genre_scores_gemma":[0.9977756,0.0004538904,0.0004747259,0.00001974596,0.000006500439,0.0000364664,0.00003036845,0.000001922776,0.001200738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00308692,"threshold_uncertainty_score":0.0103268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440673207296298,"score_gpt":0.3850240211918482,"score_spread":0.3406172891188852,"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."}}