{"id":"W7100264353","doi":"","title":"PUB TYPE Infc tation Analyses- ERIC Information Analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Politics; Administration (probate law); Order (exchange); Government (linguistics); Early childhood education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006363061,0.0007920571,0.0008764021,0.0176664,0.002839278,0.006246191,0.001342615,0.0006851971,0.2492616],"category_scores_gemma":[0.0453882,0.0004387746,0.001460956,0.02244518,0.0008602263,0.001806493,0.001764347,0.001359982,0.03616479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01485042,"about_ca_system_score_gemma":0.02932676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5780166,"about_ca_topic_score_gemma":0.536121,"domain_scores_codex":[0.9870769,0.001973242,0.0009853701,0.001215441,0.006919744,0.001829265],"domain_scores_gemma":[0.9591376,0.01345572,0.002788357,0.004014273,0.01965926,0.0009447092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005904042,0.0002222604,0.08371531,0.002022859,0.000345762,0.0003682656,0.002533875,0.002426668,0.0006774694,0.05198588,0.6106918,0.2444194],"study_design_scores_gemma":[0.00007233817,0.00009451426,0.1418512,0.000869115,0.0002708758,0.0001358709,0.003853186,0.004098356,0.001443201,0.007188707,0.8400432,0.00007948742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02521108,0.001114363,0.01332515,0.002447663,0.0006207279,0.003066429,0.5439969,0.001741935,0.4084758],"genre_scores_gemma":[0.261997,0.002810327,0.02678328,0.00127049,0.0005802041,0.004772297,0.2829989,0.001232288,0.4175552],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7507384,"threshold_uncertainty_score":0.8489372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550569678190404,"score_gpt":0.3820844016622622,"score_spread":0.3270274338432218,"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."}}