{"id":"W7054774663","doi":"","title":"Boosting farmer income: further insights from great cases, a long list of great cases","year":2019,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MaRS","funders":"","keywords":"Boosting (machine learning); Agriculture; Work (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006684809,0.0006018931,0.0007604434,0.0001577424,0.0001058982,0.00006042367,0.0003054977,0.0005474768,0.000457949],"category_scores_gemma":[0.000004851242,0.0005875205,0.0002169479,0.00008802555,0.00008949114,0.000113001,0.0001132019,0.0003543104,0.000416872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594,"about_ca_system_score_gemma":0.00001922154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212031,"about_ca_topic_score_gemma":0.00005241183,"domain_scores_codex":[0.9979521,0.00007483274,0.0006318918,0.0005566308,0.000409104,0.0003754176],"domain_scores_gemma":[0.9987951,0.0001118286,0.0002369194,0.0007113853,0.000006293797,0.0001384594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009302861,0.0006134695,0.1285673,0.007478773,0.006085393,0.001142034,0.009050124,0.7139406,0.03839888,0.0004220415,0.09030184,0.003906534],"study_design_scores_gemma":[0.004850846,0.0002324972,0.0003439485,0.0111276,0.002030557,0.000456581,0.03406386,0.8288277,0.0003865916,0.0001989766,0.1101253,0.007355535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689083,0.07499205,0.03873486,0.00003665866,0.00273987,0.005302951,0.006086348,0.00195207,0.1012469],"genre_scores_gemma":[0.9470128,0.0004970317,0.0002091012,0.00001307217,0.0005451071,0.0001413824,0.0005388056,0.0007986944,0.05024399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1781045,"threshold_uncertainty_score":0.9996576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162406378644721,"score_gpt":0.2042552541691798,"score_spread":0.1880146163047076,"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."}}