{"id":"W2058846263","doi":"10.1177/0016986206296660","title":"Ten Commandments for Academic Talent Development","year":2007,"lang":"en","type":"article","venue":"Gifted Child Quarterly","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Psychology; Meaning (existential); Identification (biology); Inclusion (mineral); Set (abstract data type); Intervention (counseling); Talent development; Modalities; Ten Commandments; Pedagogy; Mathematics education; Engineering ethics; Social psychology; Sociology; Computer science; Psychotherapist; Engineering; Social science","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":[0.007023316,0.000693701,0.0002521658,0.0008235572,0.002475059,0.003009505,0.0009755153,0.001111991,0.00521867],"category_scores_gemma":[0.02008292,0.0003508337,0.0003898687,0.0005174448,0.00460432,0.002269517,0.004937299,0.003185086,0.001162468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004181775,"about_ca_system_score_gemma":0.008035068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988879,"about_ca_topic_score_gemma":0.004909716,"domain_scores_codex":[0.9922405,0.004613698,0.0004919879,0.0003137881,0.001707754,0.0006321745],"domain_scores_gemma":[0.9854867,0.00685103,0.001426468,0.001162234,0.002322747,0.00275079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004800548,0.0009048472,0.03827064,0.0007127124,0.0000222575,0.0005425899,0.0450587,0.001626948,0.007435688,0.3385078,0.02434661,0.5420912],"study_design_scores_gemma":[0.0001985844,0.002136352,0.07454816,0.001882985,0.00008663537,0.001796506,0.08225596,0.01380361,0.02915871,0.260509,0.533156,0.0004674204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4373319,0.003061062,0.1533933,0.03401928,0.0009463084,0.002437266,0.0003991243,0.002523896,0.3658879],"genre_scores_gemma":[0.8619439,0.0009864141,0.1085693,0.001550581,0.00006261147,0.001695564,0.0002211693,0.0001389503,0.02483157],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007023316,"threshold_uncertainty_score":0.03714329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969963966746517,"score_gpt":0.3212637226057647,"score_spread":0.2915640829382996,"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."}}