{"id":"W4243830109","doi":"10.22215/etd/2005-08362","title":"Fitting the linear-quadratic model to detailed data sets for different dose ranges","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Quadratic equation; Mathematics; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003805785,0.001464218,0.001250342,0.001122451,0.0005483352,0.001228337,0.001795072,0.001754799,0.005681719],"category_scores_gemma":[0.01567269,0.0009882188,0.002929044,0.002053678,0.0004261071,0.001421911,0.0008257968,0.002432275,0.003712939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559055,"about_ca_system_score_gemma":0.002231051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03077738,"about_ca_topic_score_gemma":0.03736358,"domain_scores_codex":[0.9982997,0.0005072801,0.0001124613,0.0006037095,0.0003420002,0.0001349118],"domain_scores_gemma":[0.9951036,0.002258592,0.0003240068,0.0008566984,0.001369654,0.00008746936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008206627,0.0003216725,0.01177067,0.0007678668,0.0005407187,0.0001426597,0.0004312152,0.8776817,0.01129684,0.001642892,0.008856602,0.08572648],"study_design_scores_gemma":[0.00004958289,0.0003101293,0.01015425,0.00003416141,0.0001112024,0.0001544169,0.0001132574,0.9774272,0.004907321,0.002076055,0.004561218,0.0001011821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2591456,0.0008427017,0.7157899,0.0009545747,0.0002511512,0.0009069656,0.008920661,0.008268423,0.00492013],"genre_scores_gemma":[0.7349233,0.0007185696,0.2123347,0.0005847604,0.00004016242,0.001349491,0.02259327,0.003411053,0.02404474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03077738,"threshold_uncertainty_score":0.06119645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06522153228520021,"score_gpt":0.3243681293247424,"score_spread":0.2591465970395422,"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."}}