{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008069516,0.0004015854,0.0003494269,0.0002512642,0.0000843418,0.0002844898,0.0001956025,0.0004719332,0.004508147],"category_scores_gemma":[0.000002966997,0.0003674421,0.0001138709,0.00020363,0.00002925064,0.003722548,0.00006116927,0.000577072,0.0003518712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009544949,"about_ca_system_score_gemma":0.00001454699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.074085e-8,"about_ca_topic_score_gemma":9.381484e-7,"domain_scores_codex":[0.9987392,0.00004185033,0.0004973169,0.0001605066,0.000163624,0.0003975123],"domain_scores_gemma":[0.9993521,0.00002105194,0.0001708569,0.0002642438,0.000005339372,0.0001864162],"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":[0.00001295017,0.0000105255,0.00001223141,0.0001722771,0.00005914465,0.000001901712,0.00003026641,0.0005150459,0.000001350984,0.09370546,0.836897,0.06858187],"study_design_scores_gemma":[0.0003524866,0.0000229423,0.0001974969,0.0003170233,0.00001656004,0.00001684385,0.000001864557,0.00560915,0.000009469623,0.000117311,0.9929313,0.0004075747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003696151,0.001666179,0.001587357,0.0001550643,0.001489,0.0002635579,0.00008970202,0.001366672,0.9933788],"genre_scores_gemma":[0.01064244,0.04791006,0.008117762,0.01940256,0.01019868,0.00006647714,0.01077975,0.001048325,0.891834],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1560343,"threshold_uncertainty_score":0.9998778,"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."}}