{"id":"W2597327677","doi":"","title":"Innovation et participation aux marches d?exportation chez les entreprises du secteur canadien de la fabrication","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Exportation; Mathematics; Art","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":[0.001258313,0.0002829209,0.0001927475,0.0008931911,0.001828389,0.001988504,0.0004053595,0.0005780851,0.01558553],"category_scores_gemma":[0.002219334,0.000197341,0.0003045828,0.001240078,0.0007512372,0.000773592,0.001085369,0.000726768,0.00150481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648617,"about_ca_system_score_gemma":0.002524392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0414596,"about_ca_topic_score_gemma":0.1171364,"domain_scores_codex":[0.9992705,0.0001453096,0.00001678866,0.0001041001,0.0002203261,0.0002429226],"domain_scores_gemma":[0.9978989,0.0007171949,0.0004173795,0.00009606807,0.0004160498,0.0004543116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000730276,0.0006269815,0.5437557,0.0004374853,0.00009854549,0.003349372,0.1722828,0.001198574,0.02836081,0.0145528,0.004957381,0.2296493],"study_design_scores_gemma":[0.00002036408,0.0007445136,0.7709301,0.0001926185,0.00004755317,0.0005714122,0.0963999,0.0006594732,0.003768107,0.0009628132,0.1256421,0.00006111255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809911,0.0003804424,0.0003526494,0.0003477812,0.00001239554,0.00002347289,0.0001148041,0.000006795543,0.01777062],"genre_scores_gemma":[0.92507,0.0009261093,0.0009290288,0.0001318863,0.00001219279,0.00004164105,0.0002316669,0.000009775657,0.07264774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9585404,"threshold_uncertainty_score":0.08243656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554108533310598,"score_gpt":0.3166257336443488,"score_spread":0.2610846483112428,"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."}}