{"id":"W3163929851","doi":"10.21083/csieci.v14i2.6306","title":"Brûler les champs, pour voir ensuite ce qui va repousser","year":2021,"lang":"en","type":"article","venue":"Critical Studies in Improvisation / Études critiques en improvisation","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Humanities; Art; Coronavirus disease 2019 (COVID-19); Psychology; Communication; Medicine","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":[0.002808414,0.0006809524,0.0004790451,0.0007482311,0.01278267,0.009534434,0.001046113,0.005385469,0.02024294],"category_scores_gemma":[0.01376859,0.0003051807,0.0003387321,0.0005116043,0.01069988,0.006875431,0.00320791,0.009970631,0.007026845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278651,"about_ca_system_score_gemma":0.002921213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016754,"about_ca_topic_score_gemma":0.0183026,"domain_scores_codex":[0.9966565,0.001716741,0.00006545662,0.0002937625,0.0007982369,0.0004692065],"domain_scores_gemma":[0.9960552,0.001431853,0.0003655713,0.0002442881,0.001146474,0.0007565373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008617436,0.00005544956,0.001198822,0.0001449693,0.00001938245,0.001043061,0.1140831,0.0002026875,0.002272007,0.5788355,0.2707873,0.03127146],"study_design_scores_gemma":[0.000003987671,0.0000170569,0.0003479561,0.0001169769,0.000003457915,0.0002823606,0.04834666,0.0001279265,0.0004614127,0.01637385,0.9338958,0.0000226812],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03304056,0.007853033,0.0206858,0.4759651,0.02153633,0.0001200579,0.0001394235,0.0004333109,0.4402264],"genre_scores_gemma":[0.4495477,0.004056437,0.00723351,0.05621327,0.004857558,0.0001811018,0.0001086817,0.0005530226,0.4772488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02024294,"threshold_uncertainty_score":0.06771934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257064734933606,"score_gpt":0.4568733065389323,"score_spread":0.3311668330455717,"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."}}