{"id":"W1985723702","doi":"10.1016/s0015-0282(03)02191-5","title":"A turbulent arena","year":2003,"lang":"en","type":"letter","venue":"Fertility and Sterility","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; McMaster University","funders":"","keywords":"Turbulence; Medicine; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009828041,0.0007708506,0.001083792,0.0008460851,0.01657177,0.01502202,0.002233709,0.08429346,0.02623107],"category_scores_gemma":[0.02803107,0.000585177,0.001135064,0.0006062955,0.02057697,0.0114401,0.01035555,0.07073059,0.005922602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008713159,"about_ca_system_score_gemma":0.01611448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007814923,"about_ca_topic_score_gemma":0.01984876,"domain_scores_codex":[0.9912957,0.002559948,0.0003360985,0.001092131,0.002285841,0.002430309],"domain_scores_gemma":[0.9833075,0.005437861,0.0008106454,0.0005873668,0.001529037,0.008327556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004591089,0.00007318063,0.0005374452,0.00005610451,0.00002159396,0.002303703,0.001492929,0.00008281001,0.0001969334,0.109713,0.8733054,0.01217104],"study_design_scores_gemma":[0.00004385963,0.00003813652,0.0005972902,0.0002219372,0.000009532048,0.001030744,0.003840287,0.0001116784,0.00005626181,0.06873508,0.9252769,0.00003826596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004368155,0.001819458,0.0001286938,0.978604,0.01012402,0.000004592013,0.000008505837,0.00000916611,0.008864715],"genre_scores_gemma":[0.0089433,0.0008111008,0.0001058421,0.9669922,0.01048999,0.00001540251,0.000007677114,0.00001356858,0.01262092],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08429346,"threshold_uncertainty_score":0.08775169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4946959163330427,"score_gpt":0.5263692103758901,"score_spread":0.03167329404284741,"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."}}