{"id":"W2769407663","doi":"10.1016/j.cageo.2019.04.009","title":"Towards better traceability of field sampling data","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Traceability; Computer science; Field (mathematics); Sampling (signal processing); Software engineering; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03394118,0.001682827,0.001640661,0.007050821,0.0009780397,0.007114908,0.004037801,0.002416765,0.005552302],"category_scores_gemma":[0.07991064,0.001065523,0.001471074,0.004163719,0.001836517,0.008045611,0.006740605,0.003063902,0.003499467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372183,"about_ca_system_score_gemma":0.004058084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004302602,"about_ca_topic_score_gemma":0.001606406,"domain_scores_codex":[0.9689678,0.01227282,0.00383778,0.006338935,0.007568151,0.00101451],"domain_scores_gemma":[0.8906407,0.03281728,0.006734207,0.05347789,0.01490922,0.001420791],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001169343,0.0009238709,0.02336629,0.001877545,0.0003487705,0.0007945602,0.004720113,0.02268861,0.1162018,0.02577223,0.00993837,0.7921985],"study_design_scores_gemma":[0.0003947704,0.001178331,0.03032865,0.001613035,0.0005516201,0.001426272,0.002113061,0.2251334,0.4004041,0.08706318,0.2492158,0.0005777463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01696576,0.0002908308,0.9614193,0.0004812203,0.00009602572,0.0004000887,0.001373307,0.01690386,0.00206968],"genre_scores_gemma":[0.212394,0.0006295727,0.7664484,0.0003925161,0.0001467713,0.001186238,0.01007158,0.004654706,0.00407626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9660589,"threshold_uncertainty_score":0.1795003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110281356473823,"score_gpt":0.2673080962464992,"score_spread":0.216205282681761,"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."}}