{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003532981,0.0007108377,0.0007807892,0.002578923,0.003129662,0.007761425,0.00156287,0.004718793,0.5149348],"category_scores_gemma":[0.009653536,0.0005031329,0.0009543683,0.003708801,0.0006413385,0.003574282,0.001957384,0.004383981,0.1308287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940044,"about_ca_system_score_gemma":0.00343904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122564,"about_ca_topic_score_gemma":0.02544129,"domain_scores_codex":[0.9978269,0.0003601834,0.0001089577,0.0002867615,0.0009501541,0.0004670014],"domain_scores_gemma":[0.9937018,0.002882225,0.0002428636,0.0005469113,0.00230901,0.0003172049],"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":[0.00007052391,0.0000167344,0.0001648745,0.0001480466,0.000003824482,0.00001677949,0.0001074308,0.00003040036,0.00009148527,0.008910204,0.9778736,0.01256606],"study_design_scores_gemma":[0.00003526814,0.00001098668,0.001326636,0.0001359812,0.000004867218,0.00001016294,0.0002485567,0.00003877679,0.0002720772,0.001626747,0.9962776,0.0000122278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001803331,0.001445461,0.0007636594,0.03473787,0.008200401,0.000833584,0.06282739,0.0005620511,0.8888262],"genre_scores_gemma":[0.02131485,0.001155391,0.0007735161,0.01408273,0.002707761,0.001735438,0.01243093,0.0005722038,0.9452271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5149348,"threshold_uncertainty_score":0.6918867,"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."}}