{"id":"W2944899514","doi":"10.7202/1059156ar","title":"Bibliothèques publiques et animation en fab labs et médialabs","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001704117,0.0006399972,0.00055783,0.005803423,0.0001576942,0.08423658,0.0008036151,0.0003335646,0.0062257],"category_scores_gemma":[0.0003489906,0.000562127,0.0002520473,0.01027524,0.0001405394,0.2035161,0.0005244464,0.0004999402,0.001599598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897943,"about_ca_system_score_gemma":0.0007378377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004071612,"about_ca_topic_score_gemma":0.0006584992,"domain_scores_codex":[0.9951141,0.001150368,0.0009150708,0.0009766987,0.001073908,0.0007698329],"domain_scores_gemma":[0.9965872,0.0007784147,0.0005792372,0.0007303613,0.0009255941,0.0003991532],"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":[0.00003407036,0.0002480646,0.001382543,0.0001824453,0.00008827414,0.00002250307,0.009188916,0.0001482955,0.003963026,0.863695,0.1180011,0.003045722],"study_design_scores_gemma":[0.001758902,0.001323972,0.03139809,0.000758044,0.00006053676,0.0001512761,0.0008236229,0.003162474,0.01895003,0.09294099,0.8472422,0.001429823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1195505,0.03053941,0.05876813,0.1643718,0.005569729,0.002373554,0.0002633122,0.001653769,0.6169097],"genre_scores_gemma":[0.6942676,0.05192286,0.01376298,0.047871,0.0004866656,0.00008267225,0.0005684325,0.0001203638,0.1909174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.770754,"threshold_uncertainty_score":0.999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0969379041088976,"score_gpt":0.3669917791815144,"score_spread":0.2700538750726168,"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."}}