{"id":"W2518049995","doi":"","title":"MARKETING AND INNOVATIONS IN CHEMICAL AGRI-INDUSTRY THROUGH THE SWOT AND PEST ANALYSIS","year":2015,"lang":"en","type":"article","venue":"Nova Science Publishers (Nova Science Publishers, Inc.)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWOT analysis; PEST analysis; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.009108737,0.0004152147,0.0004469139,0.0003891101,0.001178072,0.011103,0.00282699,0.0003706053,0.0002656258],"category_scores_gemma":[0.005047679,0.0001644373,0.00007724233,0.03747666,0.005123191,0.01933922,0.001350354,0.001231299,0.000008664384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344154,"about_ca_system_score_gemma":0.0007719023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888883,"about_ca_topic_score_gemma":0.001398223,"domain_scores_codex":[0.993972,0.000116153,0.000678576,0.001649732,0.00215157,0.001431974],"domain_scores_gemma":[0.9970905,0.000318522,0.0003359842,0.000347529,0.001239394,0.0006680351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001324903,0.001054762,0.3992943,0.00004916863,0.0001726335,0.00004540659,0.00957747,0.0002382711,0.3480293,0.01332212,0.09322315,0.1348609],"study_design_scores_gemma":[0.0007569743,0.0001826627,0.9299085,0.00005646862,0.00008840571,0.0001092065,0.04037841,0.0007823975,0.001637455,0.001812879,0.02321789,0.001068757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298447,0.0001329866,0.000004754684,0.05291862,0.0006534993,0.0003742711,0.00001899751,0.0001082216,0.01594398],"genre_scores_gemma":[0.997288,0.00000415924,0.0007795707,0.001406693,0.0002829959,0.00001737436,0.00003312924,0.000003044059,0.000185026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5306143,"threshold_uncertainty_score":0.9975843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035728312476371,"score_gpt":0.25868668682303,"score_spread":0.2183294036982663,"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."}}