{"id":"W2765903200","doi":"","title":"Introduction to \"Cherishing All the Children Equally\"","year":2016,"lang":"en","type":"book-chapter","venue":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","topic":"Educational Challenges and Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Trinity College Dublin; Ulster University; University College Dublin; Royal Irish Academy; Economic and Social Research Institute; Queen's University Belfast; Queen's University; European Commission; Society for Research in Child Development; Deparment of Children and Youth Affairs, Ireland; UNICEF","keywords":"Computer science; History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000865886,0.001012421,0.0004103495,0.0007436384,0.003020549,0.003902402,0.001144865,0.002221383,0.07182059],"category_scores_gemma":[0.001842752,0.0003498654,0.0003796697,0.0006541254,0.00393454,0.003758119,0.004081234,0.005461069,0.02242732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003508633,"about_ca_system_score_gemma":0.003428514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00539749,"about_ca_topic_score_gemma":0.01872638,"domain_scores_codex":[0.9992932,0.0002582913,0.00002257839,0.00008369009,0.000227165,0.0001150315],"domain_scores_gemma":[0.9994451,0.0001915872,0.00002249617,0.00003790182,0.0001603223,0.0001424951],"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":[0.000007326419,0.00001570735,0.0000433197,0.00009047987,0.000001336159,0.00005081679,0.001649473,0.00004429534,0.00006789579,0.2159859,0.7409739,0.04106953],"study_design_scores_gemma":[0.000001218713,0.000003664145,0.00004950579,0.0001041354,4.670661e-7,0.00005841285,0.000297454,0.00001027922,0.00002106787,0.009727591,0.9897237,0.000002410294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004064957,0.01439135,0.002660518,0.02309424,0.007062492,0.00006174608,0.00009353043,0.0001607668,0.9520688],"genre_scores_gemma":[0.007216128,0.007158265,0.002000566,0.01073891,0.0009151907,0.00009442216,0.00007231304,0.0001592711,0.9716449],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07182059,"threshold_uncertainty_score":0.2402638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.223561221018776,"score_gpt":0.4137197932508302,"score_spread":0.1901585722320542,"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."}}