{"id":"W3161477394","doi":"10.5539/jas.v13n6p90","title":"The Role of Jordanian Agricultural Policies in Climate Change Responding Affecting Agricultural Production","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Environmental and Analytical Chemistry Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural productivity; Climate change; Business; Agricultural economics; Production (economics); Agricultural communication; Good agricultural practice; Natural resource economics; Agricultural policy; Economics; Geography; Food security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007419948,0.0001649667,0.0002321287,0.00003647227,0.0005634256,0.00009490459,0.0004227416,0.00003779063,0.00002651949],"category_scores_gemma":[0.0005108104,0.00007138748,0.0001344658,0.001698969,0.0006250209,0.0009224807,0.0004099497,0.0002554148,0.00001004619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620182,"about_ca_system_score_gemma":0.00001274982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004884274,"about_ca_topic_score_gemma":0.0001376148,"domain_scores_codex":[0.9979344,0.00006292826,0.0004799813,0.0002565973,0.0007932344,0.0004728391],"domain_scores_gemma":[0.9991558,0.00008769512,0.0004218682,0.0001057293,0.00007670036,0.0001522666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008490817,0.00005706166,0.06808398,0.000006368252,0.000006553215,0.000004825657,0.001152268,0.0001994669,0.9287145,0.00009171144,0.00007852121,0.00159621],"study_design_scores_gemma":[0.0000798328,0.00004832438,0.7607323,0.00007904808,0.00001247418,0.0002156333,0.01589395,0.00000354225,0.2225683,0.00005536238,0.000206329,0.0001048766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923999,0.0004787406,1.488444e-7,0.002736936,0.0001791911,0.00009079033,0.000001719306,0.000006147036,0.004106413],"genre_scores_gemma":[0.9989052,0.0003827614,0.0001670717,0.0000262032,0.0002270879,0.00000317228,7.497678e-7,0.00000263449,0.0002851198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7061462,"threshold_uncertainty_score":0.4333471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009310030683677981,"score_gpt":0.2252961121631554,"score_spread":0.2159860814794774,"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."}}