{"id":"W6955331711","doi":"10.58079/nsyx","title":"Colloque COSSI 2017 - Méthodes et stratégies de gestion de l'information par les organisations : des \"big data\" aux \"thick data\"","year":2016,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Government (linguistics); Agency (philosophy)","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":[0.05196692,0.001411801,0.001121441,0.005614156,0.004981508,0.025751,0.002259397,0.003382359,0.01386242],"category_scores_gemma":[0.06134802,0.001140233,0.001705005,0.008917799,0.00952554,0.01791842,0.009481955,0.005285186,0.004115031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01113644,"about_ca_system_score_gemma":0.01684431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598199,"about_ca_topic_score_gemma":0.02834118,"domain_scores_codex":[0.9607639,0.02754511,0.001582207,0.002780922,0.006449961,0.0008778294],"domain_scores_gemma":[0.9408712,0.03692171,0.002202406,0.008665413,0.009095484,0.002243888],"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":[0.0002117466,0.0001024606,0.006068265,0.001467228,0.0001967794,0.0002842532,0.04957253,0.00280855,0.001809117,0.5457188,0.08840557,0.3033547],"study_design_scores_gemma":[0.00005000405,0.00006353857,0.003626964,0.002032268,0.00005873365,0.0001544945,0.02664411,0.006034408,0.002899744,0.1591043,0.7992219,0.000109453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04129028,0.02903956,0.6046341,0.1559262,0.00817821,0.001233351,0.002378473,0.00125392,0.156066],"genre_scores_gemma":[0.3386988,0.0216339,0.5074578,0.006978802,0.002301152,0.002727619,0.002905912,0.002274097,0.1150219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05196692,"threshold_uncertainty_score":0.2748306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3561312318991107,"score_gpt":0.3490873032182072,"score_spread":0.007043928680903422,"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."}}