{"id":"W4392853926","doi":"10.5430/ijba.v15n1p36","title":"Temporal Rainfall Variations Induce Forecast Errors in Rainfed Agriculture in the Brazilian State of Ceará, Brazil","year":2024,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Agriculture; Environmental science; State (computer science); Climatology; Geography; Meteorology; Agricultural economics; Agroforestry; Mathematics; Economics; Geology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273226,0.0001620423,0.0001834344,0.0006914496,0.0001800857,0.0006672856,0.00020878,0.0002370571,0.000398781],"category_scores_gemma":[0.008023424,0.0001364599,0.0002930835,0.0008973133,0.0002986524,0.0003786403,0.0004367555,0.0002545058,0.00004759125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301047,"about_ca_system_score_gemma":0.0007214714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1138021,"about_ca_topic_score_gemma":0.1074039,"domain_scores_codex":[0.9996443,0.0001014055,0.0000415002,0.0000823857,0.00008694689,0.000043443],"domain_scores_gemma":[0.9971638,0.00153363,0.000673676,0.0001637353,0.0003877445,0.00007741989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008155,0.00001926445,0.955993,0.00004097644,0.0001090744,0.0002763651,0.001316292,0.02555754,0.001756395,0.001633687,0.0003721142,0.01284374],"study_design_scores_gemma":[0.000006078875,0.00003382679,0.9261161,0.00002990578,0.00003674137,0.00009058115,0.0009814569,0.069697,0.0005899438,0.001049248,0.001349548,0.00001955231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979872,0.0001326379,0.0007259212,0.0001465338,0.000004725956,0.000004669856,0.0002502079,0.000017598,0.0007304507],"genre_scores_gemma":[0.9996743,0.00004858539,0.0001152295,0.000003457073,0.000001642875,0.000001214594,0.0001110173,0.000001708766,0.00004280671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138021,"threshold_uncertainty_score":0.2262794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110839268266544,"score_gpt":0.2529076876859551,"score_spread":0.2418237608593007,"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."}}