{"id":"W4283713046","doi":"10.4995/360.2022.657201","title":"Diagnosis. Before, During, After","year":2022,"lang":"en","type":"book","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Multidisciplinary approach; Function (biology); Identity (music); Cultural heritage; Object (grammar); Focus (optics); Work (physics); Multidisciplinary team; Psychology; Engineering ethics; Sociology; Medicine; Computer science; Engineering; Geography; Social science; Aesthetics; Artificial intelligence; Nursing; Art; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005696939,0.000833913,0.0004391138,0.00107053,0.00204889,0.004098368,0.0008222786,0.001993297,0.06449685],"category_scores_gemma":[0.001413767,0.0004291164,0.000464362,0.0007290593,0.002347153,0.004625339,0.001769329,0.003703155,0.05340524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343511,"about_ca_system_score_gemma":0.002060374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003720664,"about_ca_topic_score_gemma":0.007959965,"domain_scores_codex":[0.9994571,0.0001116075,0.00002498621,0.0001339847,0.0002145093,0.00005781291],"domain_scores_gemma":[0.9995241,0.0001420118,0.00003801522,0.00004988869,0.0001797659,0.00006618892],"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":[0.0000519518,0.00002740128,0.0003010758,0.0003705334,0.000004315867,0.0004539388,0.001703815,0.0001337862,0.001587229,0.0627986,0.6741452,0.2584222],"study_design_scores_gemma":[9.580177e-7,0.000006920929,0.0001212102,0.00009406097,0.000001073296,0.0004363292,0.0002295357,0.00002108446,0.000155265,0.002764976,0.9961641,0.000004396534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001964831,0.05117439,0.02288613,0.02692886,0.05447159,0.0003724434,0.0007587715,0.001153497,0.8402895],"genre_scores_gemma":[0.008568858,0.01243277,0.008999297,0.006407598,0.003509102,0.00008536997,0.0002991253,0.0004705042,0.9592274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06449685,"threshold_uncertainty_score":0.2157634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009356760842602908,"score_gpt":0.1818673363885391,"score_spread":0.1725105755459362,"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."}}