{"id":"W2965899464","doi":"10.4000/vertigo.25106","title":"Couleurs et paysages : une nouvelle approche de planification de la couleur par les effets chromatiques","year":2018,"lang":"fr","type":"article","venue":"VertigO","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Political science; Humanities","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":[],"consensus_categories":[],"category_scores_codex":[0.002449814,0.0008651827,0.0003327632,0.002238369,0.002555476,0.008753859,0.001783787,0.001831252,0.01791721],"category_scores_gemma":[0.004113126,0.0005973234,0.001049787,0.002491153,0.00622435,0.005520813,0.003237368,0.002064983,0.001575925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005951182,"about_ca_system_score_gemma":0.006242421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0583205,"about_ca_topic_score_gemma":0.08028074,"domain_scores_codex":[0.997633,0.0008665869,0.00008194705,0.0003644901,0.0008594036,0.0001946063],"domain_scores_gemma":[0.9979435,0.0008348496,0.0001800845,0.0003466453,0.0005668264,0.0001280548],"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":[0.0001138953,0.00005322295,0.004471655,0.0004064094,0.00005347862,0.0002180585,0.009712353,0.01645183,0.004507919,0.8281274,0.003199548,0.1326842],"study_design_scores_gemma":[0.00005322878,0.0002198563,0.009045248,0.0008217487,0.0001496223,0.000458875,0.01621223,0.02169802,0.01172798,0.2763636,0.6630921,0.0001574195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05773844,0.004357594,0.5795938,0.009245908,0.0003653612,0.0003251217,0.0005162829,0.001139152,0.3467182],"genre_scores_gemma":[0.7008955,0.004771402,0.1996312,0.0008210039,0.0001005446,0.0002644493,0.0003061424,0.0005707839,0.09263902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0583205,"threshold_uncertainty_score":0.1159621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094130968579663,"score_gpt":0.2673856424958094,"score_spread":0.2464443328100127,"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."}}