{"id":"W3121568858","doi":"10.2139/ssrn.1260098","title":"Myriad Genetics: In the Eye of a Policy Storm","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Storm; Eye; Political science; Geography; Genetics; History; Biology; 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":[0.0237321,0.0007786171,0.001887384,0.002021065,0.006271002,0.01007581,0.002405512,0.02657625,0.02647436],"category_scores_gemma":[0.05425791,0.0005019813,0.0007960909,0.001406546,0.03397245,0.02389306,0.007011211,0.03078539,0.003649009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004867604,"about_ca_system_score_gemma":0.008738145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007130237,"about_ca_topic_score_gemma":0.008483699,"domain_scores_codex":[0.9925228,0.003459736,0.0002077511,0.001177132,0.001575807,0.001056851],"domain_scores_gemma":[0.9548002,0.02882504,0.001578216,0.003089134,0.004014594,0.007692783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001750884,0.0000932386,0.001627048,0.0001536487,0.00006227032,0.0005157929,0.001742383,0.0004838514,0.0004196028,0.5908098,0.3582162,0.04570098],"study_design_scores_gemma":[0.00006266922,0.00003917183,0.0006671667,0.0004345979,0.00002208288,0.0002310234,0.00225685,0.0002707056,0.0001325052,0.6961797,0.29965,0.00005345456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001328019,0.01080754,0.001668288,0.9736999,0.003951392,0.00000533502,0.00008751075,0.00006071377,0.00839126],"genre_scores_gemma":[0.114816,0.0261288,0.00363906,0.8198254,0.02206332,0.00009829425,0.0001529023,0.0002548599,0.01302125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02657625,"threshold_uncertainty_score":0.1255088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937725536744465,"score_gpt":0.2360349452383486,"score_spread":0.1766576898709039,"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."}}