{"id":"W2389253146","doi":"","title":"On the Potential World and Real World in Children's Life","year":2006,"lang":"en","type":"article","venue":"Early childhood education","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life world; Real world data; Balance (ability); World trade; Psychology; Business; Philosophy; Computer science; International trade; Epistemology; Data science; Neuroscience","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":[0.0002227321,0.00009186626,0.00008539844,0.0002994724,0.0002825082,0.0001541416,0.0001638457,0.00005298273,0.0000885739],"category_scores_gemma":[0.00008809022,0.00007636929,0.00002578894,0.0006752106,0.0001365056,0.0001770358,0.00002995582,0.0001597256,0.00005172833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006430472,"about_ca_system_score_gemma":0.0004104505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007519659,"about_ca_topic_score_gemma":0.01258977,"domain_scores_codex":[0.999157,0.00005852077,0.0001612545,0.000205222,0.0001953763,0.0002226677],"domain_scores_gemma":[0.9996625,0.00006756797,0.00006247457,0.0001333985,0.00002086151,0.00005317252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003773205,0.0002662565,0.4150189,3.486185e-7,0.000006586197,2.479471e-7,0.003583899,0.000001732109,0.000002869316,0.5541139,0.01366054,0.01334104],"study_design_scores_gemma":[0.0001254348,0.000009722093,0.9382287,0.00001339772,0.000002966808,3.921433e-7,0.0003247439,1.443903e-7,0.00001126048,0.0595571,0.001633915,0.00009229087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448195,0.00007325703,0.000001821435,0.0093241,0.0002218771,0.0002790065,0.000001224812,0.00006888348,0.1452104],"genre_scores_gemma":[0.9932806,0.00002163853,0.00004835454,0.0005487129,0.0004487317,0.00002167477,0.00001641405,0.000008377849,0.005605464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232098,"threshold_uncertainty_score":0.9990894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00574622982142908,"score_gpt":0.2337967964024085,"score_spread":0.2280505665809794,"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."}}