{"id":"W287298839","doi":"10.29173/slw7095","title":"Teaming Parents with Technology","year":2007,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Diverse Education Studies and Reforms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Curriculum; Psychology; Process (computing); Teamwork; Pedagogy; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003232374,0.00009699323,0.0001232519,0.0002055524,0.0009296268,0.0001421154,0.0002712775,0.00007421648,0.0004551171],"category_scores_gemma":[0.0001963861,0.0000669779,0.00002814462,0.0009994447,0.0005632191,0.0005436549,0.00008868711,0.0001700167,0.000238186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007107537,"about_ca_system_score_gemma":0.0002759454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003295323,"about_ca_topic_score_gemma":0.001057216,"domain_scores_codex":[0.998911,0.0000172055,0.0001532873,0.0001865056,0.0002788888,0.0004531685],"domain_scores_gemma":[0.9994462,0.00006585814,0.00007655821,0.0001660337,0.00006929592,0.0001761248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003827542,0.00004755676,0.7622138,0.000005109916,0.00004758778,0.00001374742,0.004516696,0.000001219477,0.000006309703,0.198138,0.01281319,0.02215852],"study_design_scores_gemma":[0.0001916045,0.00002349492,0.0442435,0.00002776817,0.000008919607,9.551941e-7,0.09750159,1.26894e-7,0.000150717,0.004752512,0.8529518,0.0001470304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2080123,0.0006086441,0.0004755318,0.01531901,0.001294656,0.0002959518,0.000002739772,0.000509184,0.773482],"genre_scores_gemma":[0.9568398,0.00007710354,0.003425761,0.00058496,0.0004660544,0.00001226132,0.000003362703,0.00001330827,0.03857736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8401386,"threshold_uncertainty_score":0.7150031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184199355186486,"score_gpt":0.278709556535968,"score_spread":0.2668675629841031,"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."}}