{"id":"W2112156617","doi":"10.1103/physreve.71.011908","title":"Nucleation and growth in one dimension. I. The generalized Kolmogorov-Johnson-Mehl-Avrami model","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Advanced Theoretical and Applied Studies in Material Sciences and Geometry","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimension (graph theory); Nucleation; Thermodynamics; Mathematics; Statistical physics; Physics; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091608,0.00009161444,0.000197323,0.000009143636,0.00005700836,0.00001224984,0.00008435162,0.00001251106,0.00001965057],"category_scores_gemma":[0.00002534484,0.00005460207,0.0000314024,0.0001689272,0.0000861293,0.00006462637,0.00005362776,0.000080367,0.00002569053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567844,"about_ca_system_score_gemma":0.000001423982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002762592,"about_ca_topic_score_gemma":0.000001271856,"domain_scores_codex":[0.999473,0.00001340594,0.0001285544,0.0001202489,0.0001072598,0.0001575667],"domain_scores_gemma":[0.9998078,0.00004321024,0.00001446891,0.00008454263,0.00001070205,0.0000392276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009259748,0.00009585917,0.00001302352,0.0005401295,0.00001542844,5.386762e-7,0.0001975744,0.02821648,0.006856317,0.8202665,0.0007964488,0.1429925],"study_design_scores_gemma":[0.0002862753,0.0000258626,0.0003021921,0.0004251956,0.00003610454,8.222927e-7,0.00001126162,0.669458,0.001443415,0.31642,0.01130242,0.0002884529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90432,0.05364566,0.01429314,0.007338325,0.0001712803,0.0008508425,0.00001283862,0.0002102526,0.01915767],"genre_scores_gemma":[0.9508228,0.04718593,0.001179834,0.0006373879,0.0001253924,0.00002618124,0.000001204756,0.000007495776,0.0000138004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6412415,"threshold_uncertainty_score":0.2226608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198792663410418,"score_gpt":0.2539507466480332,"score_spread":0.2419628200139291,"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."}}