{"id":"W3047639943","doi":"10.14447/jnmes.v23i1.a09","title":"Cluster Analysis of Lost Foam Casted Al-Zn-Mg-Cu Alloy with K–Mean Algorithm","year":2020,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Alloy; Materials science; Computer science; Algorithm; Metallurgy; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592718,0.0009830943,0.0009609404,0.003135579,0.001166533,0.001031774,0.001376257,0.0007451341,0.002657376],"category_scores_gemma":[0.001511694,0.0003251632,0.001400171,0.001659656,0.0003695229,0.0003590304,0.0006151361,0.0005370936,0.001066249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751967,"about_ca_system_score_gemma":0.001432045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.025868,"about_ca_topic_score_gemma":0.02760457,"domain_scores_codex":[0.9993927,0.00006090746,0.00004194689,0.0002048568,0.0001814721,0.0001181081],"domain_scores_gemma":[0.9994164,0.0001244377,0.00003980209,0.00005920193,0.0003287,0.00003152946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001358281,0.0004478293,0.01342474,0.0004091733,0.0003977591,0.0004379762,0.000660074,0.3413728,0.04281146,0.004107863,0.01623423,0.5783378],"study_design_scores_gemma":[0.00001484874,0.00004656161,0.004924328,0.00001162382,0.00003870573,0.00005616128,0.0001701805,0.9813685,0.008963061,0.001474007,0.002899036,0.00003291388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.258045,0.0005894179,0.7288388,0.000243705,0.0001970016,0.0003003478,0.001950633,0.006417109,0.00341805],"genre_scores_gemma":[0.637136,0.0001884814,0.3517265,0.00004997276,0.00003571637,0.0002739211,0.00481165,0.0005929826,0.005184707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.025868,"threshold_uncertainty_score":0.05143487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130212372520556,"score_gpt":0.2263387161866076,"score_spread":0.2133174789345519,"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."}}