{"id":"W4238080589","doi":"10.21083/csieci.v6i2.1306","title":"Keeping on...","year":2010,"lang":"fr","type":"article","venue":"Critical Studies in Improvisation / Études critiques en improvisation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.007276622,0.001039057,0.0008430387,0.001614978,0.01567494,0.01703324,0.002219146,0.006083496,0.0381256],"category_scores_gemma":[0.02885492,0.0004128322,0.000883585,0.001040843,0.02018152,0.01759718,0.01000773,0.01596586,0.02263247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004620419,"about_ca_system_score_gemma":0.006688582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611525,"about_ca_topic_score_gemma":0.008414482,"domain_scores_codex":[0.9913168,0.003717019,0.0002671136,0.001146224,0.002514869,0.001038044],"domain_scores_gemma":[0.985078,0.003892918,0.0009140596,0.002179873,0.006370545,0.001564497],"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":[0.0001411289,0.00007553312,0.001190343,0.0004051428,0.00004747836,0.0005158221,0.07423267,0.0001943198,0.001795827,0.5153531,0.3257335,0.08031528],"study_design_scores_gemma":[0.0000177733,0.0000422385,0.000674269,0.0005223561,0.00002154358,0.0003154321,0.02862422,0.0001526579,0.0008276,0.08987268,0.8788816,0.00004769062],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01298836,0.009451601,0.01916378,0.3946464,0.01668619,0.0001346621,0.0002569967,0.0005791931,0.5460929],"genre_scores_gemma":[0.3809896,0.007952506,0.01290986,0.0932739,0.007087701,0.0002980341,0.0003486034,0.001689237,0.4954506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0381256,"threshold_uncertainty_score":0.1275429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09749542325205568,"score_gpt":0.4537456989134028,"score_spread":0.3562502756613471,"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."}}