{"id":"W4313826442","doi":"10.3390/agriculture13010155","title":"Internet and Computers for Agriculture","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"NorQuest College","funders":"","keywords":"Agriculture; The Internet; Information and Communications Technology; Business; Agricultural economics; Agricultural science; Telecommunications; Computer science; Geography; World Wide Web; Environmental science; Economics; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001255481,0.0002567044,0.0002413054,0.0000134748,0.0002303537,0.0001433205,0.0002557793,0.0002205644,0.00004998856],"category_scores_gemma":[0.0000358808,0.00006959346,0.0001546866,0.0007443097,0.00003788232,0.0001527975,0.0001204164,0.000146104,0.0001137165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145423,"about_ca_system_score_gemma":0.000002526036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007567579,"about_ca_topic_score_gemma":0.0003648635,"domain_scores_codex":[0.9987062,0.0000305729,0.0001961232,0.0004568458,0.0001829323,0.0004273504],"domain_scores_gemma":[0.9993536,0.0002363165,0.00007549777,0.00004566592,0.0001262159,0.0001627216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001253768,0.00003602518,0.002309322,0.00001710972,0.00003640987,0.000006815347,0.0002097573,0.000005401974,0.180306,0.001471315,0.7999987,0.01559056],"study_design_scores_gemma":[0.0002507562,0.0002106803,0.3008942,0.0000417895,0.0000312511,0.00003884937,0.0007977855,0.00005146891,0.004026846,0.0005323581,0.6927466,0.0003773868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863611,0.0004004757,0.00001546548,0.01017956,0.0005364665,0.0006865387,0.0001337701,0.0006228655,0.00106378],"genre_scores_gemma":[0.9858843,0.0001629018,0.0002590939,0.001304832,0.001949651,0.0001525174,0.001592287,0.000002347788,0.00869205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2985848,"threshold_uncertainty_score":0.2837939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827734703815799,"score_gpt":0.1969230382804318,"score_spread":0.1786456912422739,"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."}}