{"id":"W7047037473","doi":"","title":"Femmes et micro-entreprises au Mexique, étude de cas d'une formation","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Perspective (graphical); Context (archaeology); Government (linguistics); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002496499,0.0005126968,0.0002339796,0.0006718503,0.005721543,0.00110149,0.0003562061,0.0008679839,0.01920006],"category_scores_gemma":[0.0008714366,0.0002228517,0.0002337,0.0005316546,0.001061122,0.0005068562,0.001283999,0.001296556,0.001156272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003424443,"about_ca_system_score_gemma":0.001834968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1551992,"about_ca_topic_score_gemma":0.3704056,"domain_scores_codex":[0.9997355,0.00005222479,0.000007078912,0.00004231539,0.00006773669,0.00009525024],"domain_scores_gemma":[0.9997413,0.00007746884,0.00005228793,0.00001403633,0.00005102712,0.00006395365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001431798,0.0004543079,0.2136557,0.00106313,0.0002375317,0.04836152,0.095801,0.001886464,0.04044771,0.1197049,0.06642816,0.4105279],"study_design_scores_gemma":[0.00002818424,0.0001682713,0.3383435,0.0001706153,0.00003648341,0.004890083,0.02104694,0.0004502606,0.003832707,0.002421039,0.6285766,0.00003541169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685046,0.005701199,0.001801151,0.004832706,0.0005039264,0.00006782173,0.0008295531,0.0001019951,0.1176571],"genre_scores_gemma":[0.6679921,0.003725872,0.003180233,0.0007224924,0.0002081123,0.00008867805,0.0004200564,0.00006464614,0.3235979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551992,"threshold_uncertainty_score":0.3085917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005152202362775632,"score_gpt":0.1739748952697731,"score_spread":0.1688226929069975,"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."}}