{"id":"W4210743467","doi":"10.32920/19071638","title":"Sustainable Development in Agriculture and Information & Communication Technology Sensor Networks","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agriculture; Productivity; Irrigation; Agricultural engineering; Agricultural productivity; Yield (engineering); Agricultural science; Sustainable development; Fertilizer; Crop productivity; Environmental science; Information and Communications Technology; Agricultural economics; Business; Computer science; Agronomy; Economics; Geography; Engineering; Ecology; Economic growth; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008241087,0.0004714504,0.0004498816,0.000605025,0.0003115379,0.00205541,0.0003582445,0.0009633165,0.009526696],"category_scores_gemma":[0.002106789,0.0001496813,0.0002976476,0.002055025,0.001213102,0.001989105,0.001035353,0.000950855,0.001392994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137626,"about_ca_system_score_gemma":0.0012994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213886,"about_ca_topic_score_gemma":0.002311994,"domain_scores_codex":[0.999445,0.0002186049,0.000018902,0.00006690031,0.0001926208,0.00005784994],"domain_scores_gemma":[0.9992222,0.0004350146,0.00005786192,0.00008446685,0.0001592635,0.00004121555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003071579,0.00005096095,0.001533229,0.0003657006,0.0000450266,0.0002472432,0.00019336,0.03910051,0.001514042,0.7111772,0.04681516,0.1989268],"study_design_scores_gemma":[0.00001907955,0.00004734861,0.001700551,0.0002431593,0.00001518273,0.0002221306,0.0003169346,0.05426198,0.001232691,0.6413984,0.3005241,0.00001846811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0359267,0.07154318,0.2726581,0.05544646,0.005367027,0.0001194531,0.0007629425,0.0006160598,0.5575601],"genre_scores_gemma":[0.6493891,0.1010002,0.07318365,0.00273841,0.002569342,0.0002850284,0.0008650184,0.0002836574,0.1696857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009526696,"threshold_uncertainty_score":0.03187001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00882209876038455,"score_gpt":0.2011110869200996,"score_spread":0.192288988159715,"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."}}