{"id":"W7011278918","doi":"","title":"L'immigration permet-elle d'atténuer la pénurie de maind'œuvre ?","year":2024,"lang":"fr","type":"other","venue":"Econstor (Econstor)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Expansive; Contractualism; Closure (psychology)","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":[0.001356239,0.0003886434,0.0005661659,0.0005180684,0.001836426,0.002489847,0.0006272254,0.0006499339,0.006628366],"category_scores_gemma":[0.004297975,0.0002208579,0.0008833825,0.001194167,0.002235074,0.0008991658,0.001192663,0.001207306,0.0004568401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01064998,"about_ca_system_score_gemma":0.01619925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8570825,"about_ca_topic_score_gemma":0.9328104,"domain_scores_codex":[0.9988297,0.0002666796,0.00003135921,0.0001949349,0.0001925742,0.0004849065],"domain_scores_gemma":[0.9982652,0.0005290235,0.0004172779,0.00007667976,0.0003650551,0.0003467436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007083034,0.0001483833,0.8623692,0.0009156914,0.00106953,0.0005904908,0.007957543,0.002490172,0.00262246,0.01496378,0.004462166,0.1017025],"study_design_scores_gemma":[0.00002680285,0.0001350271,0.9589891,0.0005298445,0.0004443994,0.00007650518,0.007422127,0.0006085786,0.0006905152,0.001748332,0.02929458,0.00003413248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9402063,0.01011543,0.001973239,0.009436745,0.0001912242,0.00008485278,0.00174279,0.00004189826,0.03620749],"genre_scores_gemma":[0.9823582,0.004367841,0.001024068,0.001308385,0.0000470542,0.00003700244,0.0004496632,0.00001901325,0.01038872],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8570825,"threshold_uncertainty_score":0.2875182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009777997194605008,"score_gpt":0.2430294718740362,"score_spread":0.2332514746794312,"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."}}