{"id":"W2511877250","doi":"10.1006/jaer.2001.0724","title":"AE—Automation and Emerging Technologies","year":2001,"lang":"en","type":"article","venue":"Journal of Agricultural Engineering Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Backpropagation; Roundness (object); Computer science; Kernel (algebra); Automation; Identification (biology); Set (abstract data type); Mathematics; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002739131,0.00008166194,0.000154514,0.0003124536,0.00007465904,0.00006732838,0.0001803631,0.00008188193,0.00008241508],"category_scores_gemma":[0.0005298935,0.00005051517,0.00005150351,0.0008265866,0.00003162947,0.0002106173,0.00005656122,0.0005212414,0.000003335406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009985692,"about_ca_system_score_gemma":0.00001151786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005965625,"about_ca_topic_score_gemma":4.385676e-7,"domain_scores_codex":[0.9990796,0.000005568994,0.0002123324,0.00008377001,0.0003834601,0.0002352986],"domain_scores_gemma":[0.9994106,0.0001303897,0.00007047525,0.00007025845,0.0002642902,0.00005402805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001185796,0.00003570065,0.003645829,0.00009686831,0.00009633038,0.00004422483,0.0001388386,0.001419303,0.9892857,0.0002046017,0.001041224,0.0039795],"study_design_scores_gemma":[0.0008292099,0.000205307,0.07579578,0.0002863409,0.0001074954,0.002202574,0.01054735,0.001878232,0.897644,0.0002486314,0.009827684,0.0004274131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954287,0.002427991,0.0001534184,0.000802804,0.00002694,0.00001500335,4.123635e-7,0.0000725909,0.001072073],"genre_scores_gemma":[0.997438,0.001137148,0.0007925167,0.000001493459,0.0001383831,0.000001586037,7.944458e-7,0.000005464952,0.0004846693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09164174,"threshold_uncertainty_score":0.2264563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281828575685045,"score_gpt":0.3146698963523744,"score_spread":0.2918516105955239,"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."}}