{"id":"W2979360923","doi":"","title":"Inquiring Maker Education in Early Childhood through Exploring of Makerspace","year":2017,"lang":"en","type":"article","venue":"Early childhood education","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Early childhood education; Pedagogy; Psychology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169802,0.0006119218,0.0004116716,0.0007832562,0.002413749,0.002997849,0.0008246538,0.0008259286,0.006684725],"category_scores_gemma":[0.004567727,0.0003234226,0.0004127735,0.0004281784,0.002042284,0.001582478,0.003680783,0.001744846,0.0005764329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007959347,"about_ca_system_score_gemma":0.001879034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681773,"about_ca_topic_score_gemma":0.006144332,"domain_scores_codex":[0.9993082,0.0002412579,0.00002401484,0.00008259444,0.0001372285,0.0002066022],"domain_scores_gemma":[0.9985352,0.0006399449,0.0001613035,0.0001671456,0.0001001897,0.0003962101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006377763,0.01139275,0.06009487,0.001741043,0.00006382577,0.003132384,0.4840851,0.0007502097,0.01314784,0.056826,0.01235244,0.3557758],"study_design_scores_gemma":[0.0002574145,0.002784456,0.09683428,0.002565807,0.0003858878,0.002885659,0.560812,0.001056639,0.02086933,0.03459463,0.2767481,0.0002058891],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469516,0.0006154457,0.003950978,0.001461747,0.000151705,0.0001857864,0.00007227575,0.0001490719,0.04646134],"genre_scores_gemma":[0.9729244,0.001202962,0.01200702,0.0002955487,0.00001111405,0.0002594106,0.00005902547,0.0000221659,0.01321826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006684725,"threshold_uncertainty_score":0.02236259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925885621521099,"score_gpt":0.3118079986843912,"score_spread":0.2725491424691803,"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."}}