{"id":"W7159893254","doi":"","title":"A Tale of Two Pharmaceutical Clusters – Comparison of Polepharma (France) and Cité Biotech (Canada)'","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug industry; Government (linguistics); Field (mathematics)","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":[0.002036176,0.0002915935,0.0004976115,0.000931166,0.002085662,0.002731803,0.001037175,0.001366104,0.0110101],"category_scores_gemma":[0.002965241,0.0001652551,0.0006693313,0.001129502,0.0008014609,0.0008623078,0.001160085,0.0008818822,0.001203414],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007050336,"about_ca_system_score_gemma":0.008688186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3023497,"about_ca_topic_score_gemma":0.400349,"domain_scores_codex":[0.9985099,0.000405716,0.00002863765,0.000115327,0.0005998017,0.0003405529],"domain_scores_gemma":[0.9984419,0.0005016159,0.00009414119,0.00007026791,0.0004934231,0.0003986107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05146478,0.005921949,0.06627381,0.004779915,0.001359405,0.002796764,0.004452805,0.02281322,0.08864807,0.06099806,0.1115754,0.5789158],"study_design_scores_gemma":[0.005093629,0.03667665,0.2420015,0.0008756968,0.001627096,0.001502739,0.02069156,0.01395278,0.0682339,0.006166787,0.602792,0.0003856899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815632,0.01510685,0.00191722,0.01305629,0.0005036209,0.000560937,0.001738104,0.000333552,0.08522025],"genre_scores_gemma":[0.9606094,0.004283007,0.003796915,0.001644701,0.0000600814,0.00008791068,0.001660438,0.00006940043,0.02778811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9929497,"threshold_uncertainty_score":0.6011797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191119499147481,"score_gpt":0.2671247486272076,"score_spread":0.2552135536357328,"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."}}