{"id":"W6959600466","doi":"10.7939/r3-jm0m-6a74","title":"Recovery of decision consistency in shortened and modified scholarship examinations","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Scholarship; Data collection; Intervention (counseling)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07063365,0.0003018476,0.001036487,0.003100217,0.002161666,0.004528464,0.002483958,0.001955273,0.007625189],"category_scores_gemma":[0.5667871,0.0006597215,0.0007298267,0.004427823,0.002068162,0.003355398,0.004348697,0.003320554,0.000894087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366686,"about_ca_system_score_gemma":0.007893732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185857,"about_ca_topic_score_gemma":0.01178624,"domain_scores_codex":[0.9269304,0.03954101,0.006453181,0.005221332,0.01837569,0.003478295],"domain_scores_gemma":[0.2452238,0.6084886,0.03613174,0.07413094,0.03113882,0.00488618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01500288,0.002557291,0.3881965,0.0004343014,0.0006565691,0.00100404,0.02528479,0.02038526,0.005353406,0.04486883,0.02036906,0.4758871],"study_design_scores_gemma":[0.001271811,0.003283731,0.7201513,0.0004934706,0.0008990763,0.000831711,0.02283421,0.09515235,0.01947255,0.08602624,0.04920979,0.0003738025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773745,0.0002032066,0.008705363,0.001836295,0.0001575829,0.0002775466,0.0009492272,0.000253016,0.01024332],"genre_scores_gemma":[0.9903615,0.00003921437,0.005633778,0.0002532002,0.00006301973,0.0001450133,0.0004853219,0.00005003738,0.002969033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07063365,"threshold_uncertainty_score":0.3735509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006633570817786667,"score_gpt":0.1499761518452613,"score_spread":0.1433425810274747,"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."}}