{"id":"W1989870102","doi":"10.1007/s11661-011-0811-z","title":"Modeling of Microporosity Size Distribution in Aluminum Alloy A356","year":2011,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Alloy; Aluminium; Materials science; Metallurgy; Distribution (mathematics); Mathematics","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":[0.0001645434,0.0003655923,0.0003686828,0.0004375698,0.0004478383,0.0005165558,0.000810621,0.001059854,0.001597001],"category_scores_gemma":[0.0005089222,0.0003926041,0.0005283923,0.0003491651,0.0002937661,0.0005178346,0.0001846789,0.0002141761,0.0002431336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429274,"about_ca_system_score_gemma":0.0008744002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02925054,"about_ca_topic_score_gemma":0.01324005,"domain_scores_codex":[0.9999399,0.000008115993,0.000002648933,0.00001514534,0.00001897023,0.00001529572],"domain_scores_gemma":[0.9997863,0.0001020983,0.00003409266,0.0000119272,0.00004518895,0.00002035923],"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":[0.00006625904,0.00005385137,0.001542851,0.00003557342,0.000009559258,0.0001105511,0.00002738973,0.9865022,0.007894473,0.00155495,0.0001994762,0.002002965],"study_design_scores_gemma":[0.000003300589,0.000007047687,0.0003377163,0.000001018603,0.000001738764,0.000007294665,0.000003818198,0.998962,0.0005110216,0.00008234652,0.00008014936,0.000002412581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398996,0.0007722044,0.04168499,0.0002862097,0.00004027588,0.00007076137,0.0007308177,0.0003978379,0.01611731],"genre_scores_gemma":[0.9951391,0.0001673461,0.002179618,0.00001885112,0.000007712719,0.00002519534,0.0001028816,0.00003514706,0.002324067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02925054,"threshold_uncertainty_score":0.05816054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457237295392516,"score_gpt":0.1801889186457251,"score_spread":0.1656165456917999,"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."}}