{"id":"W7100222060","doi":"","title":"is given to the source. The Lengthening of Childhood","year":2008,"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":"Multidisciplinary approach; State (computer science); Inequality; Data collection; Child support","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":["insufficient_payload"],"category_scores_codex":[0.001159562,0.0006905606,0.0005372331,0.00409925,0.001341641,0.002008172,0.001275538,0.0009524072,0.4511085],"category_scores_gemma":[0.01092812,0.0002602589,0.0004031778,0.007576879,0.0003550395,0.001475989,0.002500802,0.001652554,0.2488864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324894,"about_ca_system_score_gemma":0.001876578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03635691,"about_ca_topic_score_gemma":0.02714924,"domain_scores_codex":[0.9991381,0.000159658,0.00009334935,0.0001552562,0.0002877107,0.0001658484],"domain_scores_gemma":[0.9932112,0.001548272,0.0004207562,0.0008904645,0.003414072,0.0005152438],"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":[0.0000511512,0.000006886517,0.0007366584,0.0002295095,0.000004201662,0.00003656887,0.000186789,0.00004124965,0.00004967948,0.005990381,0.9504279,0.042239],"study_design_scores_gemma":[0.00001080285,0.000005106711,0.003870893,0.0001741647,0.000003958648,0.00004468574,0.0002726846,0.00003764894,0.0001045757,0.0006089473,0.9948604,0.000006266619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003212537,0.003418443,0.002963425,0.02992358,0.03962069,0.0002612388,0.4091004,0.001662713,0.509837],"genre_scores_gemma":[0.04363302,0.006049267,0.004586683,0.003743231,0.003852129,0.0008063228,0.1964588,0.002198099,0.7386724],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5488915,"threshold_uncertainty_score":0.7829271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048269331874356,"score_gpt":0.2865077510713282,"score_spread":0.2560250577525847,"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."}}