{"id":"W7012994751","doi":"","title":"Marietta, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Front (military); Front line; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006804765,0.001697868,0.0007149186,0.001457734,0.00516143,0.004868001,0.001208437,0.002027472,0.8189415],"category_scores_gemma":[0.001344404,0.0007230231,0.0006217669,0.001585412,0.0007574225,0.002468437,0.002538431,0.002047002,0.5704964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155216,"about_ca_system_score_gemma":0.002475519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277934,"about_ca_topic_score_gemma":0.0437888,"domain_scores_codex":[0.9991819,0.00006270007,0.00003150572,0.0003333539,0.000290338,0.0001000339],"domain_scores_gemma":[0.9990626,0.0001467187,0.0000610753,0.0001163948,0.0003585907,0.0002546045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001979683,0.000314034,0.002039701,0.0003056297,0.00002137634,0.0006529152,0.0004288754,0.000216666,0.001834103,0.01019122,0.7401009,0.2436966],"study_design_scores_gemma":[0.00001444228,0.00002616402,0.001631558,0.00009929061,0.000004952609,0.0001125766,0.0001947113,0.00007734007,0.0002027295,0.0005763913,0.9970511,0.000008700443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001641309,0.001473122,0.0008866536,0.00142159,0.001172731,0.00008455495,0.004225482,0.00077124,0.9883233],"genre_scores_gemma":[0.003671123,0.0009262196,0.0007780251,0.0003128392,0.00009598865,0.0000561471,0.00180738,0.0003034849,0.9920488],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1810585,"threshold_uncertainty_score":0.2582579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006259265492583813,"score_gpt":0.1845986869453926,"score_spread":0.1783394214528088,"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."}}