{"id":"W2078823204","doi":"10.1080/00049670.2009.10735925","title":"Making a difference –<i>Better Beginnings</i>Family Literacy Program","year":2009,"lang":"en","type":"article","venue":"The Australian Library Journal","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rio Tinto; Edith Cowan University","keywords":"Government (linguistics); Project commissioning; State (computer science); Literacy; Library science; Publishing; Public administration; Political science; Sociology; Economic growth; Media studies; Medical education; Pedagogy; Medicine; Law; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004244042,0.0001277213,0.0001396204,0.00008887916,0.0009550748,0.00152076,0.0006716445,0.0000724147,0.0006058732],"category_scores_gemma":[0.0000251868,0.00008488724,0.0001113873,0.0003913629,0.0001726824,0.001321436,0.00002208887,0.000462345,0.00008587223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002515812,"about_ca_system_score_gemma":0.000231723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004351024,"about_ca_topic_score_gemma":0.000001052414,"domain_scores_codex":[0.9983842,0.0003668459,0.0003046167,0.0001282469,0.0003358272,0.0004802993],"domain_scores_gemma":[0.9992609,0.00006832404,0.0002262401,0.0002003975,0.00003909836,0.0002050463],"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":[0.00003226427,0.0002107573,0.05904455,0.00001129834,0.00004435183,0.00004939126,0.1290966,0.000002981844,0.0003381952,0.05108399,0.4178959,0.3421897],"study_design_scores_gemma":[0.0001215821,0.00007370423,0.1771325,0.0001302471,0.00001005386,0.00006784472,0.003976726,0.000002090803,0.0000226293,0.01222511,0.8060913,0.0001461943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7918395,0.0001933569,0.00001350691,0.1713319,0.000631871,0.0002489853,0.000003304598,0.0001519704,0.03558569],"genre_scores_gemma":[0.958621,0.00006137489,0.001490321,0.008636579,0.003909292,0.000007155506,0.000001683023,0.00001169228,0.02726096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3881954,"threshold_uncertainty_score":0.9995158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08315454155804826,"score_gpt":0.4001604988814232,"score_spread":0.317005957323375,"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."}}