{"id":"W1540227787","doi":"","title":"Immobilisations incorporelles et croissance de la productivite au Canada","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006884767,0.000548256,0.001155,0.0007900035,0.0004396673,0.0002913512,0.0009158577,0.0006759304,0.0004924593],"category_scores_gemma":[0.001063147,0.0007272658,0.000398817,0.0004472585,0.001174442,0.0004002769,0.0009284483,0.002386185,0.00007141651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008674084,"about_ca_system_score_gemma":0.004017548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5834689,"about_ca_topic_score_gemma":0.7326472,"domain_scores_codex":[0.9946171,0.0006248844,0.001504303,0.001476145,0.0001493298,0.001628259],"domain_scores_gemma":[0.9957711,0.001411331,0.0007944079,0.001480407,0.0001038476,0.0004389548],"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":[0.00005199563,0.0006771779,0.4539014,0.000254804,0.0005619639,0.00003526653,0.002624745,0.04165795,0.00005005421,0.485658,0.001325362,0.01320133],"study_design_scores_gemma":[0.0007549006,0.00006299659,0.3778273,0.0002648348,0.00005797902,0.00003176158,0.001367403,0.01865504,0.0001864617,0.03949171,0.5598955,0.00140407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8331913,0.01591611,0.00001162858,0.006247704,0.001605873,0.0008547402,0.0007271167,0.00002451184,0.141421],"genre_scores_gemma":[0.8863279,0.08259571,0.001139331,0.0001907616,0.0008399034,0.0003705325,0.0002212597,0.0001125633,0.028202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5585701,"threshold_uncertainty_score":0.9999154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147658608214825,"score_gpt":0.2854392646437309,"score_spread":0.2539626785615827,"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."}}