{"id":"W1542517281","doi":"","title":"Textualiser l’espace, spatialiser le discours. Hey! Mike de Karen Elaine Spencer. Hey! Mike de Karen Elaine Spencer","year":2013,"lang":"fr","type":"article","venue":"Ciel variable : Art, photo, médias, culture","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001992424,0.0008388063,0.0005533255,0.0009359969,0.002836468,0.005308593,0.0006436119,0.002080305,0.1733427],"category_scores_gemma":[0.0105559,0.0005865101,0.000409793,0.0006383227,0.001818985,0.007512237,0.002479176,0.005167086,0.1151406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799524,"about_ca_system_score_gemma":0.001674606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009578579,"about_ca_topic_score_gemma":0.02195532,"domain_scores_codex":[0.9988511,0.0003557179,0.00003455879,0.0002127842,0.0004548854,0.00009100575],"domain_scores_gemma":[0.9960543,0.001287778,0.0001901482,0.0002339554,0.00160356,0.0006302777],"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":[0.00003006369,0.00001208771,0.0001482777,0.00007427447,0.000002979741,0.00005321356,0.001777074,0.00004825109,0.0009924248,0.007906907,0.9375682,0.05138612],"study_design_scores_gemma":[0.000003497993,0.000006042504,0.0002551722,0.00006799762,0.00000176614,0.00008152171,0.001190512,0.00009019079,0.000487122,0.001976678,0.9958252,0.00001421477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005499352,0.02092549,0.04172608,0.3995411,0.03772648,0.0001402099,0.001755161,0.00543371,0.4872524],"genre_scores_gemma":[0.02743815,0.00698833,0.01271111,0.01758204,0.004150548,0.00008509449,0.0004855493,0.003916606,0.9266426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1733427,"threshold_uncertainty_score":0.5798892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021019964131631,"score_gpt":0.2592441922486434,"score_spread":0.2382242281170124,"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."}}