{"id":"W6928604205","doi":"10.3886/e235344v1","title":"Investigating Nature-based Preschoolers Gains in Early Literacy and Select Executive Function Skills","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"","keywords":"Early literacy; Early childhood; Literacy; Executive functions; Working memory; Function (biology); Early childhood education","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":[0.00230299,0.0004919415,0.000554117,0.00312863,0.0008193466,0.001019418,0.001243468,0.000622918,0.2232535],"category_scores_gemma":[0.01923398,0.0003156968,0.0003600277,0.004195284,0.0003774459,0.0008632977,0.001232842,0.0009669362,0.0528052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584147,"about_ca_system_score_gemma":0.002350925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622978,"about_ca_topic_score_gemma":0.02095355,"domain_scores_codex":[0.9987238,0.0002130529,0.0001933834,0.0001543288,0.0005962665,0.000119157],"domain_scores_gemma":[0.9810985,0.0095595,0.001892158,0.002717983,0.004209085,0.0005228252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004088362,0.0002147525,0.009203865,0.0004046917,0.00001845429,0.00009247424,0.0006664667,0.000464207,0.0005878237,0.001962316,0.9510103,0.03496576],"study_design_scores_gemma":[0.0005561514,0.0002845405,0.1704272,0.0007429041,0.00003503917,0.0002608315,0.002473793,0.001914201,0.005395231,0.002911941,0.8148794,0.0001187209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004102458,0.00001224315,0.001106763,0.0002172911,0.00003452946,0.0004053606,0.9851269,0.001448727,0.007545677],"genre_scores_gemma":[0.01977471,0.0001050946,0.007984789,0.000199738,0.00003450183,0.006011853,0.9440789,0.001086678,0.02072375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2232535,"threshold_uncertainty_score":0.7468573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356173153692664,"score_gpt":0.2900138833691069,"score_spread":0.2764521518321802,"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."}}