{"id":"W1987098535","doi":"10.4028/www.scientific.net/msf.654-656.1102","title":"High B&lt;sub&gt;s&lt;/sub&gt; FeSiBPCu Nanocrystalline Wide Ribbons Using Industrial Raw Materials","year":2010,"lang":"en","type":"article","venue":"Materials science forum","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Nanocrystalline material; Materials science; Raw material; Homogeneous; Metallurgy; Crystallization; Alloy; Chemical engineering; Nanotechnology; Thermodynamics","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":[0.0001625032,0.0003377171,0.0002930771,0.0002287395,0.0002361658,0.0003047989,0.0002873923,0.000309651,0.001528301],"category_scores_gemma":[0.0003035288,0.0002301659,0.0001569087,0.0002571773,0.0001893897,0.0002654835,0.0001955065,0.0002879424,0.0007881142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536762,"about_ca_system_score_gemma":0.0001318358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401766,"about_ca_topic_score_gemma":0.007880415,"domain_scores_codex":[0.9998475,0.00001232199,0.000006619243,0.00003980966,0.00006655289,0.00002708555],"domain_scores_gemma":[0.9997829,0.00005819392,0.00003041373,0.00003369098,0.00006668168,0.000028195],"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":[0.00004902591,0.000008383905,0.0001419471,0.00005455858,0.00000568867,0.00005903792,0.00001910928,0.0001970949,0.9971221,0.0001194665,0.0001958582,0.002027754],"study_design_scores_gemma":[0.00001660743,0.00008818993,0.002946263,0.000006950514,0.000009193123,0.0001134352,0.00002116798,0.001368704,0.9930972,0.00006835058,0.002259414,0.000004441461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658463,0.001862409,0.01503417,0.0001321248,0.00003558046,0.00005647275,0.0007226386,0.0008816344,0.01542859],"genre_scores_gemma":[0.9788472,0.0004175695,0.01753321,0.00002269408,0.000007117967,0.00003024667,0.0004028261,0.0002067744,0.002532339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002401766,"threshold_uncertainty_score":0.005112648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620439160674667,"score_gpt":0.2176325875166688,"score_spread":0.2014281959099221,"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."}}