{"id":"W4400001052","doi":"10.54932/czst7397","title":"Investissement dans les innovations, croissance de la productivité totale des facteurs et commerce international des PME manufacturières québécoises","year":2024,"lang":"fr","type":"report","venue":"","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; Economics","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":[0.001798138,0.0003147163,0.000203503,0.002806833,0.0008447712,0.002361846,0.0004804872,0.0004614706,0.005875103],"category_scores_gemma":[0.00401824,0.00018122,0.0003925135,0.003827066,0.0007169498,0.0008877525,0.0005545581,0.0006117226,0.0005772958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01997906,"about_ca_system_score_gemma":0.01591588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8177744,"about_ca_topic_score_gemma":0.9079966,"domain_scores_codex":[0.9989814,0.000144456,0.00003219461,0.0001516546,0.0004697402,0.0002205951],"domain_scores_gemma":[0.995654,0.0007523933,0.0005351682,0.0001645326,0.002172982,0.0007208868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000420355,0.0001662288,0.7370954,0.0004312316,0.0002339751,0.0002927217,0.004966583,0.004770095,0.005076297,0.009372022,0.005780905,0.2313943],"study_design_scores_gemma":[0.000008555193,0.0001351714,0.9583598,0.0001716805,0.0000702385,0.00005959831,0.002204985,0.001147934,0.000969908,0.0001957703,0.03665889,0.00001755765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460323,0.003747933,0.001253691,0.001711488,0.00003842688,0.00006766496,0.002853313,0.00005038816,0.04424476],"genre_scores_gemma":[0.9233851,0.003077743,0.002797465,0.0002338539,0.00001878285,0.00006301852,0.002507392,0.0000166191,0.06789999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822256,"threshold_uncertainty_score":0.3665975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07942430906073204,"score_gpt":0.3015237517720419,"score_spread":0.2220994427113098,"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."}}