{"id":"W4406457181","doi":"10.1016/s1544-8800(09)70140-x","title":"10.1016/s1544-8800(09)70140-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Lead (geology); Set (abstract data type); Extraction (chemistry); Training set; Computer science; Geology; Artificial intelligence; Geography; Chemistry; Meteorology; Chromatography; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009463361,0.002527648,0.001423442,0.002862744,0.00215384,0.003413455,0.003008316,0.004671466,0.9865851],"category_scores_gemma":[0.001447175,0.0007640925,0.00121492,0.002577581,0.001660663,0.004721794,0.002509065,0.002146031,0.9894534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154997,"about_ca_system_score_gemma":0.001101187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165944,"about_ca_topic_score_gemma":0.003177866,"domain_scores_codex":[0.9993773,0.00004277384,0.00004608971,0.0002217511,0.0001848679,0.0001271957],"domain_scores_gemma":[0.9980206,0.0005178721,0.0001355269,0.0002310812,0.0004732683,0.0006216285],"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":[0.000356941,0.0002283694,0.0008577252,0.0005947641,0.00004131697,0.000280198,0.000118258,0.0005003797,0.003320995,0.006188825,0.3115768,0.6759354],"study_design_scores_gemma":[0.0000422014,0.0001026593,0.0005792031,0.0002143751,0.00001423671,0.0003446624,0.0001043919,0.000262655,0.0006156862,0.0005732304,0.997126,0.00002071193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005800801,0.0004703937,0.001296888,0.0003765194,0.0002998788,0.0001034049,0.0007142387,0.001170777,0.9949877],"genre_scores_gemma":[0.0006724526,0.000205899,0.0004965481,0.0001551571,0.0000609116,0.00004563509,0.0004200168,0.0001598022,0.9977836],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01341486,"threshold_uncertainty_score":0.01913458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005148310264615432,"score_gpt":0.1739275921596592,"score_spread":0.1687792818950438,"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."}}