{"id":"W4229881019","doi":"10.18733/cpi29399","title":"Compartments","year":2018,"lang":"en","type":"article","venue":"Cultural and Pedagogical Inquiry","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Service (business); Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003636852,0.0009378617,0.0004262337,0.0008819724,0.00246451,0.004761889,0.001758043,0.001677208,0.4413982],"category_scores_gemma":[0.001685889,0.0005839357,0.0006830404,0.0007063433,0.001061823,0.004287811,0.004767376,0.001253348,0.1997074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107944,"about_ca_system_score_gemma":0.00113396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766093,"about_ca_topic_score_gemma":0.004397352,"domain_scores_codex":[0.9995968,0.00005094079,0.00001967692,0.0001192792,0.0001328243,0.00008048516],"domain_scores_gemma":[0.9993156,0.00008999402,0.00003294682,0.0002041115,0.0001854644,0.0001718291],"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":[0.0008920798,0.00013968,0.0008151734,0.0008016282,0.00003194801,0.0007976117,0.003738119,0.0008872681,0.01732237,0.109386,0.6716395,0.1935487],"study_design_scores_gemma":[0.0000147545,0.00002473979,0.0003220542,0.0001081232,0.000007719904,0.0002331014,0.0003831876,0.0002440744,0.001645618,0.004573604,0.9924279,0.00001513616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009595766,0.001116077,0.03902227,0.001710724,0.002077576,0.0004456186,0.005172713,0.01310646,0.9277527],"genre_scores_gemma":[0.07100987,0.0008581184,0.02940989,0.001694243,0.0002950207,0.0004090835,0.00468769,0.006073109,0.8855629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4413982,"threshold_uncertainty_score":0.7967777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6374130328424219,"score_gpt":0.438814184314995,"score_spread":0.1985988485274269,"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."}}