{"id":"W6906521645","doi":"10.17605/osf.io/kxsbw","title":"Exemples de processus d'accès et d'utilisation secondaire des données","year":2022,"lang":"fr","type":"article","venue":"Open Science Framework","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Field (mathematics)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.04010843,0.001093952,0.0007980342,0.005554308,0.006904714,0.01319682,0.002639676,0.005438354,0.01007213],"category_scores_gemma":[0.06701653,0.001085037,0.001543637,0.00650324,0.00649186,0.006493835,0.006958595,0.003652777,0.002250236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00769993,"about_ca_system_score_gemma":0.01362056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1072194,"about_ca_topic_score_gemma":0.09899234,"domain_scores_codex":[0.9466039,0.02893113,0.003404837,0.003071086,0.01547257,0.002516411],"domain_scores_gemma":[0.8949658,0.07595722,0.003207272,0.0104365,0.01366686,0.001766318],"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":[0.0007153333,0.000427383,0.01266053,0.002027196,0.0001734739,0.007304344,0.1883075,0.004708534,0.01289047,0.5309824,0.03131826,0.2084844],"study_design_scores_gemma":[0.0001901123,0.0002786385,0.012973,0.002255392,0.0001410778,0.004126193,0.05275595,0.02208576,0.01462116,0.07377218,0.8163026,0.000497876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1270067,0.003022685,0.6734639,0.02156357,0.0008475617,0.004361482,0.003130208,0.004578123,0.1620258],"genre_scores_gemma":[0.385644,0.002017453,0.5429345,0.001215701,0.0001751721,0.002300269,0.002048671,0.000896355,0.06276793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9973603,"threshold_uncertainty_score":0.2131907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08867592917146103,"score_gpt":0.3777493356544955,"score_spread":0.2890734064830345,"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."}}