{"id":"W6884838268","doi":"10.13130/rd_unimi/y8fucp","title":"Interview with Jean-Frédéric Messier","year":2022,"lang":"en","type":"dataset","venue":"","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; Face (sociological concept); Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005010332,0.0009596404,0.001206991,0.003574381,0.003664308,0.003086869,0.0008670721,0.002101397,0.1726235],"category_scores_gemma":[0.01699683,0.0004314421,0.0004486647,0.003482334,0.0006913705,0.002133949,0.001247142,0.002843744,0.1103343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006217815,"about_ca_system_score_gemma":0.007759461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4901184,"about_ca_topic_score_gemma":0.6565362,"domain_scores_codex":[0.9987281,0.0003272214,0.00005534077,0.0003144575,0.0003729975,0.0002018891],"domain_scores_gemma":[0.9927847,0.001792084,0.0001433208,0.0003934936,0.003810026,0.001076339],"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":[0.00001702982,0.000003862157,0.0003605958,0.00001226734,0.000001483311,0.00001302631,0.00005348395,0.00002485459,0.00002486504,0.00008802292,0.9977036,0.001696875],"study_design_scores_gemma":[0.00002842031,0.000005502219,0.003873419,0.00009297153,0.000004213137,0.0000339755,0.001283636,0.0002092636,0.00009793723,0.0001558553,0.9941931,0.00002162753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009853326,0.004690245,0.003018485,0.1256506,0.008863695,0.001155069,0.7550681,0.002183891,0.0895166],"genre_scores_gemma":[0.04022849,0.002836796,0.004222231,0.05430739,0.00259828,0.003655472,0.3091711,0.001963145,0.5810171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4901184,"threshold_uncertainty_score":0.9745312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271348801011963,"score_gpt":0.2381361562562141,"score_spread":0.2054226682460945,"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."}}