{"id":"W4220995599","doi":"10.4095/329857","title":"Le CCCOT de RNCan présente FAIR+ : faciliter le repérage des données scientifiques et rendre celles-ci plus accessibles au profit de toutes les collectivités","year":2022,"lang":"fr","type":"report","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02225435,0.001153575,0.0008013888,0.003744578,0.006883214,0.01677882,0.002027991,0.004277207,0.09119662],"category_scores_gemma":[0.03036615,0.0007879096,0.0009745938,0.003623543,0.002484137,0.005764205,0.005939298,0.00390044,0.02669922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008164446,"about_ca_system_score_gemma":0.02681461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1564034,"about_ca_topic_score_gemma":0.2449563,"domain_scores_codex":[0.9830939,0.005027143,0.0004207708,0.001553993,0.008616306,0.001288],"domain_scores_gemma":[0.972311,0.009617853,0.0006506272,0.002304628,0.01097613,0.004139898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004242844,0.0002814235,0.002685605,0.0003963682,0.00004050958,0.0003984651,0.002533184,0.0009314755,0.003365313,0.0477582,0.8085133,0.1326718],"study_design_scores_gemma":[0.00006366817,0.00006022523,0.002225872,0.0001065222,0.00002366019,0.000166256,0.001060362,0.002022889,0.004668875,0.00454515,0.9849777,0.0000788118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02690056,0.005646296,0.1407931,0.1770951,0.02691066,0.004024436,0.02314904,0.01914656,0.5763343],"genre_scores_gemma":[0.07117404,0.003095064,0.1190363,0.007451742,0.002049621,0.001175305,0.01224537,0.004656884,0.7791157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.997972,"threshold_uncertainty_score":0.3109861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4531898563973863,"score_gpt":0.3538974412848072,"score_spread":0.09929241511257919,"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."}}