{"id":"W7033073877","doi":"","title":"Pre-service teachers' conceptual understanding of perimeter, area, and volume / by Walter E. Latt.","year":2007,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Higher education","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":[0.0003924215,0.0001731042,0.0001038766,0.0006870021,0.001299077,0.00201851,0.0003303627,0.0004066184,0.0126949],"category_scores_gemma":[0.000993715,0.0001802585,0.00007542904,0.0009071978,0.002766252,0.00227199,0.0005928956,0.0009734723,0.001190696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408691,"about_ca_system_score_gemma":0.001643993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05789943,"about_ca_topic_score_gemma":0.1585693,"domain_scores_codex":[0.9998509,0.00004123739,0.000006419236,0.00002795354,0.00005548701,0.00001794477],"domain_scores_gemma":[0.9995684,0.0002220509,0.00005809294,0.00001183065,0.00006298212,0.00007649555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007179769,0.000167303,0.04282733,0.0005141819,0.000007036855,0.0005956528,0.338192,0.0006539765,0.003819077,0.1279059,0.1986034,0.2866423],"study_design_scores_gemma":[0.00001281449,0.00005400071,0.1108447,0.0008602011,0.00001030683,0.000525294,0.2710843,0.0006852717,0.0008876303,0.01714678,0.5978664,0.00002229236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4836557,0.02257886,0.01034491,0.05687977,0.000474678,0.0001661963,0.001037759,0.0002352229,0.424627],"genre_scores_gemma":[0.9026346,0.006736912,0.002489521,0.0009897653,0.00004891539,0.00006752622,0.0002156464,0.0000642836,0.08675287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05789943,"threshold_uncertainty_score":0.1151249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564611172755642,"score_gpt":0.2580706496611991,"score_spread":0.2124245379336427,"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."}}