{"id":"W2465938843","doi":"10.1177/026248930802700501","title":"Tensile Modulus Prediction of Structural Foams using Density Profiles","year":2008,"lang":"en","type":"article","venue":"Cellular Polymers","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Materials science; Ultimate tensile strength; Composite material; Densitometry; Low-density polyethylene; Moduli; Modulus; Range (aeronautics); Young's modulus; Polyethylene; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002765531,0.0001750199,0.000208422,0.00009269834,0.0001202396,0.000007894223,0.0001126652,0.00009482342,0.00009249456],"category_scores_gemma":[0.000003864055,0.0001744896,0.0001136587,0.0001530334,0.0001147657,0.00009006159,0.00002305399,0.0001291002,0.000003513709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004363742,"about_ca_system_score_gemma":0.00002014627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001129719,"about_ca_topic_score_gemma":0.000001890865,"domain_scores_codex":[0.9991545,0.00002014792,0.000224434,0.0001671612,0.0001935169,0.0002402099],"domain_scores_gemma":[0.9995873,0.000007715571,0.00004205158,0.0002485524,0.0000357705,0.00007859626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009693245,0.000004191929,0.004431133,0.00004525054,0.00005175569,0.00002358694,0.0003625189,0.008128262,0.9859983,0.00003687846,0.0000817711,0.0008266768],"study_design_scores_gemma":[0.0002063543,0.00001960672,0.006744488,0.0000111178,0.00003272463,0.0001043015,0.00006055513,0.1226012,0.8699576,0.00004694406,0.00007125539,0.0001437582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912163,0.002152824,0.00468432,0.000002611805,0.0007891585,0.0001241849,0.0000293712,0.0001726233,0.0008286124],"genre_scores_gemma":[0.9989911,0.00001646013,0.0006560421,0.000006374531,0.0001407113,0.000001593182,0.00004899217,0.00003392209,0.0001047833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160406,"threshold_uncertainty_score":0.711548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168683103110974,"score_gpt":0.1809202111092244,"score_spread":0.1692333800781146,"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."}}