{"id":"W3098014010","doi":"","title":"Appropriation. Table ronde / Appropriation. Panel discussion","year":2019,"lang":"en","type":"article","venue":"Esse/Esse arts + opinions","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Appropriation; Table (database); Round table; Computer science; World Wide Web; Linguistics; Database; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005378948,0.0001983755,0.0002952887,0.00008759607,0.001553983,0.0001997254,0.0003420087,0.000176762,0.001135552],"category_scores_gemma":[0.0003268868,0.0001499747,0.0001167202,0.0005876784,0.0002186452,0.0005817005,0.0001227548,0.0002183319,0.0009738604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432089,"about_ca_system_score_gemma":0.000293315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310743,"about_ca_topic_score_gemma":0.001239631,"domain_scores_codex":[0.997893,0.0001625338,0.0003205646,0.0004214358,0.0006502327,0.0005522796],"domain_scores_gemma":[0.9989659,0.00014942,0.0001721498,0.0003380853,0.0001835955,0.0001909194],"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":[0.000007818975,0.0001532375,0.002455327,0.00002617802,0.00004503494,0.000001144249,0.02268788,0.00007199425,0.0001302843,0.9203052,0.05250553,0.00161037],"study_design_scores_gemma":[0.0004332038,0.00003183999,0.006727635,0.00004465778,0.00001726026,2.934387e-7,0.01241432,0.0001132725,0.00006553545,0.01377776,0.9660639,0.0003103306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01936284,0.002824967,0.003618524,0.1202317,0.01347446,0.002995932,0.0001115164,0.001065128,0.8363149],"genre_scores_gemma":[0.9385312,0.0004928292,0.0006421022,0.0003459489,0.001533381,0.0001412518,0.0001473761,0.0000365412,0.05812933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9191684,"threshold_uncertainty_score":0.999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975759720276,"score_gpt":0.2783498024415754,"score_spread":0.2285922052388154,"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."}}