{"id":"W7029432412","doi":"","title":"L'ajustement par l'innovation : l'expérience du Canada atlantique","year":2001,"lang":"fr","type":"article","venue":"Persée (Ministère de lEnseignement supérieur et de la Recherche)","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rationalisation; Context (archaeology); Western europe","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007555365,0.0005824236,0.0007010371,0.0003443092,0.000386172,0.0003257255,0.0006868369,0.0007813873,0.002005866],"category_scores_gemma":[0.002217233,0.0007493716,0.0001885192,0.001240085,0.0003062982,0.0004289783,0.0001924172,0.001118218,0.0002192122],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006226674,"about_ca_system_score_gemma":0.004771373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2491466,"about_ca_topic_score_gemma":0.1367091,"domain_scores_codex":[0.9948739,0.0008834614,0.001486433,0.001059921,0.0003552462,0.001341067],"domain_scores_gemma":[0.9965738,0.001571791,0.0006666732,0.0006281848,0.0002433139,0.0003162603],"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":[0.0003181605,0.001201227,0.2913997,0.0005779336,0.0004319637,0.001942998,0.1169419,0.0009265149,0.0006138632,0.3495145,0.2140277,0.02210357],"study_design_scores_gemma":[0.000917692,0.0001812243,0.04727347,0.0002265158,0.00003221048,0.0003426326,0.004565488,0.001374896,0.000569563,0.008783211,0.9348984,0.0008346932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448462,0.004967715,0.01307372,0.05232777,0.0009761939,0.0006474447,0.0001115422,0.00006284954,0.08298656],"genre_scores_gemma":[0.9111964,0.02132988,0.01103007,0.01326478,0.0004059113,0.0002305163,0.0001412622,0.00008970677,0.04231149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7208707,"threshold_uncertainty_score":0.9994957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06886426120905184,"score_gpt":0.3059173603733407,"score_spread":0.2370530991642888,"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."}}