{"id":"W2897742049","doi":"","title":"Resumen del Congreso Internacional de Agricultura de Precisión (Montreal, Quebec, Canadá 2018)","year":2018,"lang":"es","type":"article","venue":"Tierras de Castilla y León: Agricultura","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Art","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":["insufficient_payload"],"category_scores_codex":[0.001143929,0.0009098306,0.001161529,0.0004472591,0.0006894162,0.001018686,0.00108094,0.0008752911,0.001519092],"category_scores_gemma":[0.000391681,0.0008203855,0.0003723034,0.001142679,0.0004934482,0.0009905612,0.0002835875,0.0007111494,0.001677927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003591294,"about_ca_system_score_gemma":0.000629722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1253993,"about_ca_topic_score_gemma":0.07206086,"domain_scores_codex":[0.9947551,0.0001135429,0.001798549,0.001313459,0.0001847485,0.001834537],"domain_scores_gemma":[0.9963484,0.0001953952,0.001332015,0.000729163,0.0007705494,0.000624456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002538361,0.0004284639,0.2998568,0.0002707184,0.0009664111,0.0001335122,0.004739727,0.0004043033,0.0006945309,0.01440332,0.6664867,0.0113617],"study_design_scores_gemma":[0.001065934,0.0001352546,0.6739321,0.0002013404,0.00007554296,0.0003688276,0.0006149875,0.001434835,0.0002725012,0.0008308806,0.3199837,0.001084088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524619,0.002112252,0.001156883,0.002664691,0.002567321,0.0006514868,0.0009292558,0.0001583563,0.03729788],"genre_scores_gemma":[0.9653007,0.001769373,0.0009449924,0.001633138,0.004394321,0.0001170149,0.0003984977,0.00008921407,0.02535271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3740753,"threshold_uncertainty_score":0.9994247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961555796378754,"score_gpt":0.2164703062517225,"score_spread":0.1968547482879349,"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."}}