{"id":"W7047874361","doi":"","title":"Identification and resolution of issues challenging Alberta school superintendents","year":2002,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Resolution (logic); High resolution; Data collection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001525455,0.0002514667,0.0001749791,0.001042151,0.01541975,0.006413999,0.00189806,0.003114467,0.07183085],"category_scores_gemma":[0.003514648,0.0002836115,0.000146316,0.001253125,0.001830363,0.001131226,0.002028165,0.00267584,0.006545864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162522,"about_ca_system_score_gemma":0.06152495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7441588,"about_ca_topic_score_gemma":0.959742,"domain_scores_codex":[0.998637,0.0001095547,0.00001960783,0.00008426529,0.0004908459,0.0006587038],"domain_scores_gemma":[0.9975325,0.0004435471,0.00008847252,0.00009577707,0.001035313,0.0008043589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008218198,0.000187345,0.01015456,0.0000726907,0.000004040747,0.001470413,0.0077683,0.0004749568,0.002165662,0.04220179,0.8313996,0.1040185],"study_design_scores_gemma":[0.00001514915,0.00003248437,0.03360163,0.00009473224,0.000007149131,0.00008718275,0.04037515,0.0005517933,0.001183395,0.003604339,0.9204288,0.00001820396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06372495,0.0003696394,0.001149226,0.03630472,0.0005573698,0.0002997416,0.001038464,0.0003489553,0.896207],"genre_scores_gemma":[0.0974578,0.0001852763,0.001614021,0.00373548,0.00006909498,0.00005543563,0.0005997531,0.00006145904,0.8962217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2558412,"threshold_uncertainty_score":0.5146958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673521629788403,"score_gpt":0.2482543191621822,"score_spread":0.2315191028642982,"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."}}