{"id":"W4300769478","doi":"","title":"The Selection's Modern State Of The Ill-Resistant Sorts Of Tailings Cereals","year":2009,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tailings; Selection (genetic algorithm); State (computer science); Computer science; Chemistry; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005139244,0.0001504196,0.0001458496,0.0008976844,0.0005470004,0.001177836,0.0002291496,0.0001851729,0.005162101],"category_scores_gemma":[0.0004045675,0.0001033845,0.0001020925,0.0007771942,0.001005366,0.000467559,0.0003761965,0.0002545417,0.0006033375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005311174,"about_ca_system_score_gemma":0.0002780474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289971,"about_ca_topic_score_gemma":0.006528262,"domain_scores_codex":[0.9996842,0.00004798055,0.00002122327,0.0001311751,0.00006039221,0.00005497945],"domain_scores_gemma":[0.9995474,0.00006129766,0.0001360231,0.0001026472,0.0001014392,0.000051081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008673278,0.0002250648,0.3034992,0.0002068482,0.00005067212,0.0008080314,0.004088834,0.0002266559,0.4827437,0.01179394,0.00124236,0.1942474],"study_design_scores_gemma":[0.000009861287,0.0005461107,0.9162872,0.00004233369,0.00002739709,0.001464827,0.002516939,0.0001762451,0.02289116,0.002090208,0.05392355,0.00002406035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840661,0.000890734,0.001980793,0.0002940227,0.00002104072,0.000009687174,0.0002164449,0.00002482858,0.01249633],"genre_scores_gemma":[0.9891923,0.000491235,0.002185822,0.0001160114,0.00002391125,0.000005420095,0.0002217847,0.00001603471,0.007747364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005162101,"threshold_uncertainty_score":0.0172689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803450683019156,"score_gpt":0.1764391728584907,"score_spread":0.1684046660282992,"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."}}