{"id":"W4322101601","doi":"10.2307/jj.11102972.13","title":"INTER DISCIPLINARIEDAD","year":2023,"lang":"es","type":"book-chapter","venue":"Dykinson eBooks","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001123254,0.0009047601,0.0008089638,0.002639762,0.004393928,0.01009166,0.001155127,0.002590515,0.3477058],"category_scores_gemma":[0.001666117,0.0004748511,0.0004046458,0.003404825,0.001184177,0.004299735,0.005276454,0.003214517,0.1720146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159669,"about_ca_system_score_gemma":0.002657973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003394561,"about_ca_topic_score_gemma":0.006690294,"domain_scores_codex":[0.9989457,0.0002033608,0.00004742577,0.0002073902,0.0004006936,0.0001955389],"domain_scores_gemma":[0.9992734,0.0001034554,0.00003717783,0.0001494198,0.0002449615,0.0001916945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008047585,0.0001114469,0.0004428511,0.0002866005,0.000007526287,0.000185455,0.001546198,0.00007456299,0.0005023557,0.1205017,0.6016499,0.2746109],"study_design_scores_gemma":[0.000002989989,0.000004819455,0.0002486765,0.00008275405,0.000001481272,0.00005048446,0.0002952926,0.00001935355,0.00007107633,0.002833909,0.9963871,0.000002024482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001164973,0.02648255,0.0008660268,0.004437658,0.003904756,0.00002499123,0.0004468597,0.0002796093,0.9623926],"genre_scores_gemma":[0.007701464,0.005041302,0.0004458305,0.0006798285,0.0004963605,0.00004007178,0.000326301,0.000165097,0.9851038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3477058,"threshold_uncertainty_score":0.9304186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103158041086817,"score_gpt":0.2585115271517451,"score_spread":0.1974799467408769,"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."}}