{"id":"W7011226150","doi":"","title":"Les initiatives de democratisation des donnees et l’economie sociale","year":2008,"lang":"fr","type":"report","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publics; Context (archaeology); Statistical analysis; Research methodology","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"],"consensus_categories":[],"category_scores_codex":[0.00035665,0.0003951072,0.000540112,0.0001093551,0.0009107827,0.0000453367,0.0007879079,0.0007069145,0.00007560046],"category_scores_gemma":[0.0001352532,0.0004663451,0.0001372197,0.00008179452,0.002429219,0.0001719765,0.001126614,0.0002807667,0.000006044321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592079,"about_ca_system_score_gemma":0.0005627417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02271314,"about_ca_topic_score_gemma":0.03518473,"domain_scores_codex":[0.9975842,0.0002405934,0.0004550429,0.001023434,0.0002662843,0.0004304179],"domain_scores_gemma":[0.9978789,0.00009691966,0.0008237342,0.0008941046,0.0001140144,0.0001923353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005140462,0.001338066,0.6389537,0.0008294347,0.002928622,0.001877362,0.0009943452,0.0001312937,0.06890053,0.001770959,0.04694457,0.234817],"study_design_scores_gemma":[0.002027368,0.0007897111,0.2795226,0.0003675275,0.0007669531,0.00130594,0.002357156,0.00007555071,0.01082407,0.0005624675,0.700296,0.001104653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388921,0.0121336,0.0006972702,0.0005075923,0.000308696,0.000413514,0.001134876,0.00003023858,0.04588215],"genre_scores_gemma":[0.8204494,0.1643747,0.001289549,0.00004764213,0.0001633447,0.000002170114,0.001795777,0.00002535706,0.01185211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6533514,"threshold_uncertainty_score":0.9997788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335016434540547,"score_gpt":0.2498339710904192,"score_spread":0.2264838067450137,"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."}}