{"id":"W2766976251","doi":"10.3138/ctr.172.004","title":"Connective Tissue: Practice as Research in Cross-disciplinary Research Collaborations","year":2017,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Artistic and Creative Research","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discipline; Negotiation; Cross disciplinary; The arts; Sociology; Transdisciplinarity; Engineering ethics; Social science; Visual arts; Data science; Engineering; Art; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006967217,0.0001503464,0.0003333076,0.0004405285,0.005546756,0.001123605,0.000840189,0.00007642823,0.006720704],"category_scores_gemma":[0.003707404,0.0001300757,0.00004672178,0.0002918195,0.002335488,0.00074893,0.0002149536,0.0009038452,0.003903992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556436,"about_ca_system_score_gemma":0.003211763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2548578,"about_ca_topic_score_gemma":0.7337298,"domain_scores_codex":[0.9960412,0.001442924,0.0003225934,0.0004525279,0.0007471394,0.00099364],"domain_scores_gemma":[0.994592,0.001409463,0.00008204402,0.001041152,0.002288444,0.0005869352],"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":[0.00002971323,0.00006818962,0.000514465,0.0007901493,0.00003279866,0.0005844568,0.005242338,3.559301e-7,0.000002629864,0.8795864,0.08254307,0.03060545],"study_design_scores_gemma":[0.0001672932,0.0001782451,0.0005920672,0.002771697,0.00001241058,0.00001670569,0.01717992,0.000006271838,0.000007423321,0.007227017,0.9716887,0.0001521933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007450243,0.06363242,6.773701e-7,0.03779691,0.00007334942,0.001293928,0.0001447077,0.0000121844,0.8963008],"genre_scores_gemma":[0.9066612,0.04604751,0.00003477657,0.0005413237,0.0006687796,0.0004982225,0.00003723989,0.00004404212,0.04546689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9059162,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3411392926148594,"score_gpt":0.5352383874863068,"score_spread":0.1940990948714474,"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."}}