{"id":"W3022916870","doi":"10.22230/ijepl.2020v16n5a961","title":"Principal Influence: A Catalyst for Positive School Climate","year":2020,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organisation climate; Principal (computer security); Variance (accounting); School climate; Affect (linguistics); Vulnerability (computing); Psychology; Multilevel model; Regression analysis; Political science; Social psychology; Mathematics education; Statistics; Mathematics; Business; Computer science; Accounting","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":[0.0005058082,0.0000882397,0.0001309903,0.0001990053,0.0001688597,0.0001452721,0.0003015915,0.00006212537,0.00005781812],"category_scores_gemma":[0.004237351,0.00008582465,0.00008526085,0.0001735071,0.0002628576,0.0004347922,0.00001781291,0.0001848707,0.00001486649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977952,"about_ca_system_score_gemma":0.001808161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885307,"about_ca_topic_score_gemma":0.00006029461,"domain_scores_codex":[0.9989022,0.0001213401,0.0003164679,0.0001203802,0.0003324507,0.0002071443],"domain_scores_gemma":[0.99823,0.0002483885,0.0003121636,0.00004180435,0.0008538619,0.0003138149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003749242,0.0003187611,0.02620586,0.00007844361,0.0003116118,0.000002273746,0.7618138,0.00002274203,0.0002933125,0.1790046,0.01504312,0.01653051],"study_design_scores_gemma":[0.0008274751,0.0001422809,0.07621501,0.0001568033,0.00005919893,0.00002277887,0.6742632,0.000006867363,0.0001850998,0.002289036,0.2456037,0.0002284858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1192474,0.0008670654,0.0001844279,0.8756648,0.0009565038,0.0002199054,0.00002030037,0.00001962056,0.00281996],"genre_scores_gemma":[0.9770149,0.000154697,0.0004468473,0.01694399,0.004906038,0.00001269413,0.000007065381,0.000007901602,0.0005058838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8587208,"threshold_uncertainty_score":0.5072812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207750554268182,"score_gpt":0.451732465617889,"score_spread":0.2309574101910708,"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."}}