{"id":"W1561343294","doi":"10.7202/601023ar","title":"Les flux technologiques interindustriels : une analyse exploratoire du potentiel canadien","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Economics; Engineering; Regional science; Industrial organization; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002495046,0.0006887547,0.001131275,0.007641226,0.001549693,0.007280271,0.000692007,0.001095361,0.008680666],"category_scores_gemma":[0.009763869,0.0003575282,0.001388706,0.009604956,0.001523203,0.003026122,0.0008185819,0.001929339,0.0005738838],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01679583,"about_ca_system_score_gemma":0.005670752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.652,"about_ca_topic_score_gemma":0.367747,"domain_scores_codex":[0.9980578,0.0003380783,0.00004270128,0.0002815029,0.001013568,0.0002663686],"domain_scores_gemma":[0.992309,0.005735175,0.0005758538,0.0001982174,0.0009732109,0.0002085555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009455323,0.0003931148,0.2999739,0.001060917,0.001429419,0.001265899,0.01132052,0.09855153,0.01016576,0.3451049,0.003622868,0.2261656],"study_design_scores_gemma":[0.0001747884,0.0002620434,0.7336009,0.0004908622,0.000721121,0.0008274472,0.009295798,0.081149,0.005641376,0.05958731,0.1079987,0.0002506256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846168,0.01580356,0.02759811,0.002543874,0.00005034561,0.0001851328,0.003600294,0.0001587994,0.0654431],"genre_scores_gemma":[0.9688619,0.008424615,0.007052953,0.0001281001,0.00006255131,0.00009668597,0.001082623,0.00005325034,0.01423727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9832042,"threshold_uncertainty_score":0.7000989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318241171113297,"score_gpt":0.2427241714290894,"score_spread":0.1695417597179564,"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."}}