{"id":"W7132897500","doi":"","title":"Pandemic school leadership : lessons learned and implications for post-covid schooling","year":2021,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Nipissing University","keywords":"Pandemic; Work (physics); Data collection; Government (linguistics); Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00691196,0.0003776457,0.0003951823,0.0008807527,0.007777099,0.008527244,0.002067013,0.00218528,0.06373121],"category_scores_gemma":[0.01880271,0.0002381084,0.0003601904,0.001303282,0.002943326,0.004635267,0.005718471,0.004832778,0.00411462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008714457,"about_ca_system_score_gemma":0.03750871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03655089,"about_ca_topic_score_gemma":0.1360881,"domain_scores_codex":[0.9947746,0.002467508,0.00008086888,0.0001757423,0.0004308347,0.002070424],"domain_scores_gemma":[0.9836775,0.004320836,0.0002959892,0.0005035227,0.002190247,0.009011863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002085013,0.002657862,0.0217463,0.001074022,0.00003695122,0.001037088,0.04998792,0.001239586,0.0002991207,0.1288045,0.340618,0.4522902],"study_design_scores_gemma":[0.0001887703,0.0007712011,0.04202164,0.006021959,0.00004774928,0.0002162337,0.4319758,0.001515665,0.0008155613,0.09543808,0.420871,0.0001163198],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08078831,0.007945598,0.006186465,0.5845338,0.00862617,0.0006759439,0.0006551566,0.0003498765,0.3102388],"genre_scores_gemma":[0.9013001,0.007152861,0.005962165,0.01440577,0.0008307889,0.0005381376,0.0005178665,0.0001237707,0.06916859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06373121,"threshold_uncertainty_score":0.2132021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372157042523389,"score_gpt":0.4354372090893111,"score_spread":0.1982215048369722,"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."}}