{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003636773,0.0002121039,0.0002256702,0.0003308542,0.0004198145,0.0005357779,0.001168977,0.00009293296,0.00004085196],"category_scores_gemma":[0.0002893944,0.0002398773,0.0001376481,0.0003310883,0.00008716344,0.003045471,0.0001903041,0.000369187,0.0001471642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331373,"about_ca_system_score_gemma":0.00181095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503664,"about_ca_topic_score_gemma":0.0000498936,"domain_scores_codex":[0.9982547,0.0001197146,0.0004689297,0.000518972,0.0003062749,0.0003313878],"domain_scores_gemma":[0.9976861,0.00004815327,0.0005616184,0.001386669,0.0002034715,0.0001139804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003088665,0.003614798,0.3137495,0.00003775948,0.00005313824,7.091286e-7,0.3109378,0.00006818203,0.0001453067,0.1058905,0.002047661,0.2634516],"study_design_scores_gemma":[0.0002856668,0.00006761407,0.9888545,0.000443374,0.000009798396,0.000007613442,0.002504657,0.000007836914,0.0004823958,0.004849735,0.002254195,0.0002326309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772551,0.0003304771,0.005180201,0.00408431,0.003157895,0.0003784347,0.000001240284,0.00009753033,0.009514793],"genre_scores_gemma":[0.9806256,0.00004473845,0.01715151,0.0002198137,0.0004249985,0.0001519248,0.000009969547,0.00002657287,0.001344878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.675105,"threshold_uncertainty_score":0.9781912,"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."}}