{"id":"W4292846913","doi":"10.3102/1445816","title":"Exodus of the Reticulists: Network Instability in School Partnerships in Disadvantaged Areas","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Disadvantaged; Instability; Computer science; Business; Economic growth; Economics; Physics","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":[0.004971146,0.0001661809,0.0003249355,0.002152924,0.006273486,0.0053612,0.001033578,0.001260148,0.005214042],"category_scores_gemma":[0.02032881,0.0003507489,0.0002947873,0.001641358,0.007849874,0.006056735,0.006502551,0.00124916,0.0002709022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003470125,"about_ca_system_score_gemma":0.002866585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546427,"about_ca_topic_score_gemma":0.02820445,"domain_scores_codex":[0.9964815,0.001929576,0.0001333319,0.000414521,0.0005400702,0.0005010816],"domain_scores_gemma":[0.9830115,0.007040662,0.005801147,0.0008413134,0.0009834253,0.002321938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003017062,0.0002212934,0.4910572,0.0002491312,0.00009524867,0.002142457,0.3635805,0.0007027247,0.001268875,0.07568353,0.003574886,0.06112242],"study_design_scores_gemma":[0.00003830198,0.0002228012,0.3936002,0.0003050544,0.0001003325,0.002336059,0.5353548,0.003017417,0.0004800964,0.04463834,0.01984273,0.00006388637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789293,0.0004428692,0.001699036,0.005095476,0.00002574479,0.00003248697,0.00004674993,0.000007518501,0.01372071],"genre_scores_gemma":[0.9991499,0.00009784685,0.0001948885,0.00008093029,0.00001049042,0.00001228608,0.00001027445,0.000002057224,0.000441444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546427,"threshold_uncertainty_score":0.03074855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559146651380806,"score_gpt":0.234683853161992,"score_spread":0.219092386648184,"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."}}