{"id":"W6980349139","doi":"","title":"Building Canada's BioEconomy Cluster: Value Chain Gaps and Their Solutions","year":2018,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Traditional Chinese Medicine Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Chain (unit); Supply chain; Production (economics); Work (physics)","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":[0.002616888,0.0006615928,0.0005922568,0.003308458,0.01042768,0.01266707,0.002361365,0.002133336,0.03318822],"category_scores_gemma":[0.009951643,0.0003320698,0.0006178295,0.008733751,0.003269842,0.006501556,0.006427996,0.003297194,0.001959163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07781948,"about_ca_system_score_gemma":0.2339104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9419856,"about_ca_topic_score_gemma":0.965279,"domain_scores_codex":[0.9975399,0.000280102,0.00004117042,0.0002284781,0.0009226623,0.000987796],"domain_scores_gemma":[0.992065,0.0007818234,0.0002654706,0.0004611313,0.003218651,0.003207848],"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":[0.0001071276,0.0001347668,0.0166466,0.0002148919,0.00006008047,0.0001965539,0.002370244,0.004088003,0.0002908,0.5581604,0.2784449,0.1392857],"study_design_scores_gemma":[0.00005539002,0.00003734258,0.02807506,0.0006319037,0.00005747825,0.00009968616,0.01811604,0.01411374,0.001119953,0.2525728,0.6850396,0.00008095613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1335301,0.005723456,0.0216895,0.2500099,0.001204808,0.0003018299,0.009133013,0.001348517,0.5770589],"genre_scores_gemma":[0.8291954,0.003473142,0.02758005,0.00707101,0.0002283757,0.0001447046,0.004993339,0.0005223292,0.1267915],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07781948,"threshold_uncertainty_score":0.5646225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009284943313284822,"score_gpt":0.2266297478748743,"score_spread":0.2173448045615895,"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."}}