{"id":"W6983231137","doi":"","title":"<sup>45</sup>Ti extraction using hydroxamate resin","year":2012,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Extraction (chemistry); Fraction (chemistry); Yield (engineering); Column (typography); Component (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":[0.001245187,0.002496062,0.002166985,0.002784561,0.0013846,0.0009296006,0.001291727,0.0004573212,0.06180822],"category_scores_gemma":[0.00116995,0.001197697,0.0008077037,0.001106125,0.0007244635,0.001234002,0.0006565927,0.001659181,0.02508083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006148,"about_ca_system_score_gemma":0.001496603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772145,"about_ca_topic_score_gemma":0.004811401,"domain_scores_codex":[0.9993432,0.00006211171,0.00007342038,0.0002058994,0.000161026,0.0001543597],"domain_scores_gemma":[0.9992884,0.0002592866,0.00005467486,0.0001357064,0.0001899157,0.00007203563],"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":[0.0008702966,0.0001054911,0.0003597119,0.001001274,0.00004053824,0.0004979061,0.000127908,0.0002597023,0.9554043,0.002232903,0.005123888,0.03397609],"study_design_scores_gemma":[0.0001238359,0.0005979742,0.003696804,0.0000974542,0.0002780117,0.000733209,0.0001587667,0.001262917,0.8655252,0.001028406,0.1264472,0.00005016436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2862439,0.01606664,0.5012264,0.001598499,0.002426516,0.003898361,0.02446166,0.01698697,0.1470912],"genre_scores_gemma":[0.3853904,0.0162167,0.2545585,0.0006341073,0.001028953,0.002405441,0.05170545,0.00770558,0.2803549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06180822,"threshold_uncertainty_score":0.2067691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021729746115495,"score_gpt":0.2239937927403933,"score_spread":0.2037764952792384,"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."}}