{"id":"W12526815","doi":"10.1007/978-1-4615-4323-7_1","title":"Tools for Analysing Biotechnology","year":2000,"lang":"en","type":"book-chapter","venue":"Economics of science, technology and innovation","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal; University of Ottawa","funders":"","keywords":"Biotechnology; Biochemical engineering; Computational biology; Computer science; Engineering; Biology","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":[0.002058922,0.001468558,0.001071031,0.005387858,0.001149681,0.007268411,0.001901897,0.002001673,0.02576966],"category_scores_gemma":[0.005744427,0.0008060595,0.001257377,0.00382581,0.006683452,0.01021673,0.003295705,0.00325867,0.01034185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035592,"about_ca_system_score_gemma":0.001353168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260878,"about_ca_topic_score_gemma":0.001483812,"domain_scores_codex":[0.9986797,0.0004890843,0.00009416522,0.0001807451,0.0004902281,0.00006605063],"domain_scores_gemma":[0.9975635,0.001517031,0.00008793522,0.0005935687,0.0001827772,0.00005523113],"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":[0.00000240612,0.000008220344,0.00003969021,0.00008542032,0.000009589865,0.00003131847,0.0002489979,0.0008504511,0.0001497921,0.9601356,0.006682542,0.03175597],"study_design_scores_gemma":[0.000001856674,0.000002156294,0.00003735344,0.00007584423,0.000005052726,0.00003712486,0.00006686703,0.001492966,0.0001487854,0.9008419,0.09728526,0.000004874676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00158,0.01047855,0.660699,0.003698234,0.0007938771,0.0001270304,0.0004655049,0.001168355,0.3209895],"genre_scores_gemma":[0.08084109,0.01804365,0.6635005,0.001681275,0.001227794,0.0009159463,0.001332132,0.00115108,0.2313065],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02576966,"threshold_uncertainty_score":0.08620805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126256719949225,"score_gpt":0.2525924468366317,"score_spread":0.2313298796371395,"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."}}