{"id":"W6983267089","doi":"","title":"Marketing analysis of the pharmaceutical market of antidiabetic drugs in Ukraine","year":2022,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market analysis; Market share; Quarter (Canadian coin); Medicinal plants; Pharmaceutical industry; Raw material; Market research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009145727,0.0001355195,0.0001844626,0.00547797,0.0003263729,0.001312632,0.0001684279,0.0001753935,0.002795413],"category_scores_gemma":[0.002344527,0.00008263069,0.0004445058,0.0042116,0.0002591583,0.0009336121,0.0004353771,0.000197827,0.0003743652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180451,"about_ca_system_score_gemma":0.0009779983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005405372,"about_ca_topic_score_gemma":0.002867059,"domain_scores_codex":[0.9991323,0.0001832692,0.00009944722,0.0001307608,0.0003705809,0.00008362707],"domain_scores_gemma":[0.9978119,0.0005421809,0.0009909729,0.00006251332,0.0005306567,0.00006188981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004349646,0.0002130447,0.7584631,0.0009127859,0.0003061031,0.001449848,0.003396698,0.00261203,0.006134792,0.01302178,0.005400368,0.2076545],"study_design_scores_gemma":[0.000005040562,0.000124346,0.9754093,0.0000782325,0.00006613577,0.0004315367,0.001732461,0.003052108,0.001260995,0.0005312844,0.01729379,0.00001474908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676248,0.003958436,0.0006670633,0.0004585969,0.0000238643,0.00007035961,0.003180611,0.00003813922,0.02397799],"genre_scores_gemma":[0.9932922,0.001723354,0.0008083309,0.00007636328,0.00004813165,0.00003015534,0.001982366,0.00001197592,0.002027163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00547797,"threshold_uncertainty_score":0.01309276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615697505765233,"score_gpt":0.2801162211545902,"score_spread":0.2539592460969379,"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."}}