{"id":"W2738025867","doi":"","title":"Autopsie d'un commentaire : étude des métadonnées produites par le grand public dans le secteur culturel / Autopsy of a Comment: A Study of Metadata Produced by the Public in the Cultural Sector","year":2017,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Humanities; Metadata; Context (archaeology); Political science; Sociology; Library science; Philosophy; Geography; Computer science; Law; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.01461206,0.0006574143,0.000425786,0.005227406,0.01335526,0.00734259,0.00168857,0.003508603,0.007690856],"category_scores_gemma":[0.08588807,0.0007702102,0.0006482389,0.00615492,0.007695888,0.006615506,0.008127699,0.004458879,0.00152199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009315798,"about_ca_system_score_gemma":0.01020356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09929521,"about_ca_topic_score_gemma":0.1019531,"domain_scores_codex":[0.9905765,0.00417857,0.0007630146,0.0008907848,0.002869365,0.0007217556],"domain_scores_gemma":[0.9111797,0.05699757,0.0102366,0.005984641,0.01330558,0.002296015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005734513,0.00003250808,0.01815559,0.0002019238,0.00001692786,0.002541581,0.9510067,0.00004502968,0.001487404,0.006304335,0.006764741,0.01338609],"study_design_scores_gemma":[0.000007249802,0.00003110805,0.01430253,0.0004049436,0.00002271091,0.0009586675,0.8391969,0.0002144313,0.001790022,0.001202262,0.1418181,0.00005107228],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196473,0.001375225,0.007825463,0.02099753,0.001336891,0.0003772164,0.001984052,0.0002226146,0.04623361],"genre_scores_gemma":[0.9631619,0.001060425,0.002770736,0.002725265,0.0003695135,0.0003883047,0.0005559257,0.0002672945,0.02870071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09929521,"threshold_uncertainty_score":0.1974345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05196606329222133,"score_gpt":0.2478310539961703,"score_spread":0.1958649907039489,"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."}}