{"id":"W619739641","doi":"","title":"Strategic science in the public interest : Canada's government laboratories and science-based agencies","year":2007,"lang":"en","type":"book","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Political science; Wildlife; Sustainable development; Public administration; Engineering; Business; Library science; Environmental planning; Geography; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002827666,0.0009792793,0.0005594618,0.005050786,0.0111642,0.02351266,0.00216255,0.004863342,0.03386416],"category_scores_gemma":[0.005987869,0.0006969426,0.0004556424,0.01821497,0.01020953,0.008122669,0.00301194,0.005376361,0.004330558],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.176736,"about_ca_system_score_gemma":0.3856676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824445,"about_ca_topic_score_gemma":0.9920756,"domain_scores_codex":[0.9947737,0.0004219439,0.0001360135,0.0003171312,0.003068158,0.001283015],"domain_scores_gemma":[0.994197,0.0007582796,0.0001430361,0.000276414,0.003547943,0.001077237],"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":[0.000007849552,0.00001448071,0.0003219879,0.00007926021,0.0000028767,0.00003168765,0.0007718274,0.000195515,0.0000382848,0.6248129,0.3351013,0.03862207],"study_design_scores_gemma":[0.000003802807,0.000002308381,0.0005558736,0.0001519746,0.000004358518,0.00001352145,0.001084268,0.0001293429,0.00004468804,0.02045937,0.9775411,0.000009328388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001726332,0.03008016,0.002299082,0.08766908,0.003217263,0.0001144335,0.001017948,0.0002418914,0.8736339],"genre_scores_gemma":[0.06220427,0.03386863,0.004004555,0.01223438,0.0006953334,0.00009532323,0.00111943,0.0002005143,0.8855775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9888358,"threshold_uncertainty_score":0.9548696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2093324147336368,"score_gpt":0.3897940600177315,"score_spread":0.1804616452840946,"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."}}