{"id":"W2258340029","doi":"10.1007/978-3-319-21599-0_16","title":"Innovative Case Study Processes in Extractive Metallurgy","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Process (computing); Metallurgy; Engineering; Manufacturing engineering; Materials science; Computer science","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":[0.0005196651,0.0007490405,0.0003751384,0.0006199077,0.0009506562,0.002102769,0.001245269,0.001570624,0.01620146],"category_scores_gemma":[0.0005887005,0.0002482713,0.0004123728,0.001159651,0.0009900465,0.00220328,0.001465474,0.001228273,0.003114825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009820103,"about_ca_system_score_gemma":0.0007530018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006421685,"about_ca_topic_score_gemma":0.002666847,"domain_scores_codex":[0.9995803,0.0000916572,0.00001340562,0.00005560531,0.0002232726,0.00003560009],"domain_scores_gemma":[0.9997995,0.0001191433,0.000009394229,0.00002679201,0.00003289626,0.00001226256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001201446,0.0003438921,0.0003814957,0.0011406,0.00001998146,0.001919077,0.001930894,0.008902598,0.02005752,0.4089176,0.04172597,0.5145403],"study_design_scores_gemma":[0.00001768901,0.0001247732,0.0007271323,0.0003408221,0.00002041188,0.002336042,0.0009512379,0.007078646,0.02451232,0.1152138,0.848643,0.00003401186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03025218,0.02070462,0.2219458,0.002575925,0.001091654,0.0003213297,0.000200081,0.0004061016,0.7225024],"genre_scores_gemma":[0.1703405,0.01779769,0.1208292,0.0005042512,0.0002974563,0.0002793978,0.0003472299,0.0002735165,0.6893307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01620146,"threshold_uncertainty_score":0.05419928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07662123338738272,"score_gpt":0.3154875360011416,"score_spread":0.2388663026137589,"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."}}