{"id":"W2126510004","doi":"10.1119/1.3008007","title":"A simple function for the description of near-exponential decays: The stretched or compressed hyperbola","year":2009,"lang":"en","type":"article","venue":"American Journal of Physics","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences","keywords":"Hyperbola; Extrapolation; Exponential function; Physics; Exponential decay; Interpolation (computer graphics); Simple (philosophy); Representation (politics); Exponential integral; Double exponential function; Function (biology); Mathematical analysis; Mathematics; Classical mechanics; Nuclear physics; Geometry; Integral equation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001118238,0.001211572,0.0006914558,0.001741757,0.001029729,0.002045746,0.002243346,0.002626823,0.01068418],"category_scores_gemma":[0.005332603,0.0003037254,0.0008894624,0.001702962,0.002305688,0.006734197,0.001299807,0.003741601,0.005400329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005423981,"about_ca_system_score_gemma":0.0006902921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009259352,"about_ca_topic_score_gemma":0.000440872,"domain_scores_codex":[0.9996349,0.00009561385,0.00002474784,0.0000861122,0.0001086288,0.00004990074],"domain_scores_gemma":[0.9984944,0.0005762884,0.0001744224,0.0003355525,0.000304252,0.0001151882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009441943,0.00003971885,0.0003798355,0.0001595091,0.00001421277,0.0001794369,0.0003505445,0.01235452,0.007043904,0.9409584,0.007994927,0.0304306],"study_design_scores_gemma":[0.00002386222,0.0001019811,0.0004090649,0.0001167618,0.00002106169,0.0008380206,0.0001934864,0.1850497,0.002503655,0.7426843,0.06796513,0.00009302065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01151325,0.002035706,0.9584773,0.001700598,0.0006730603,0.00005761565,0.000348957,0.0008474272,0.02434603],"genre_scores_gemma":[0.5126805,0.006316939,0.4248841,0.003838866,0.002418193,0.0006483017,0.0008612767,0.001997117,0.04635465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01068418,"threshold_uncertainty_score":0.0357421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810200801508693,"score_gpt":0.2676918650309447,"score_spread":0.2495898570158578,"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."}}