{"id":"W2615014457","doi":"","title":"Looking Down the Road at Children's and Teen's Services","year":2013,"lang":"en","type":"article","venue":"BCLA Browser: Linking the Library Landscape","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Library science; Political science; Media studies; Sociology; Business; Advertising; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004203733,0.0001819992,0.0001476386,0.00005183498,0.002288342,0.001519592,0.001074281,0.0001051424,0.001136441],"category_scores_gemma":[0.000015325,0.00009859158,0.00007464096,0.0004331603,0.0003631218,0.003995585,0.0003583121,0.0002322399,0.0001886401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007176187,"about_ca_system_score_gemma":0.0001193106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007198458,"about_ca_topic_score_gemma":0.0002640785,"domain_scores_codex":[0.9982217,0.0002890459,0.0002368459,0.0003480653,0.000441524,0.000462817],"domain_scores_gemma":[0.9990469,0.0002487178,0.0001562782,0.0003875585,0.00001781584,0.0001427385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002418079,0.00004008229,0.9130829,0.00002376438,0.00004701646,0.000004338671,0.02112059,0.00001774928,0.0001822632,0.02271515,0.01632749,0.0264145],"study_design_scores_gemma":[0.0003806922,0.00005737144,0.8454163,0.0001045915,0.00003352078,0.00001906691,0.00428699,0.0006362892,0.0003635473,0.01910486,0.1291763,0.0004204201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908691,0.0006372278,0.00000192585,0.0393899,0.0002563418,0.0005059341,0.000007450253,0.0002374906,0.05027269],"genre_scores_gemma":[0.9856592,0.0003335161,0.0001366001,0.004504801,0.001504366,0.00002647465,0.00005196015,0.00002071834,0.007762367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1128488,"threshold_uncertainty_score":0.9997767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006361775610211367,"score_gpt":0.2136841067509052,"score_spread":0.2073223311406939,"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."}}