{"id":"W176824863","doi":"10.71781/10821","title":"Calibration de systèmes de caméras et projecteurs dans des applications de création multimédia","year":2009,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Humanities; Art","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":[0.00210851,0.001435173,0.00100149,0.001795744,0.001297852,0.003262372,0.001516036,0.001719079,0.01054851],"category_scores_gemma":[0.005643364,0.001014242,0.001108977,0.001933492,0.001351623,0.002842258,0.002730342,0.001892865,0.003075396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394654,"about_ca_system_score_gemma":0.001641027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005528114,"about_ca_topic_score_gemma":0.005125638,"domain_scores_codex":[0.9975905,0.0003964019,0.00008045963,0.0007473591,0.001030025,0.0001551882],"domain_scores_gemma":[0.9980111,0.0004974681,0.0001411176,0.000556199,0.0007095106,0.00008453586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002707123,0.00006381682,0.00416189,0.0006146628,0.0001304149,0.0003006863,0.001487657,0.0354794,0.1110733,0.03174097,0.007098563,0.8075779],"study_design_scores_gemma":[0.00007901713,0.0005427216,0.02155378,0.0005240942,0.0002108482,0.003045586,0.001830386,0.2527447,0.3557844,0.0269192,0.3364095,0.0003557547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01531912,0.001113934,0.96931,0.0003049686,0.0001977066,0.0001241399,0.0001297253,0.001803126,0.01169728],"genre_scores_gemma":[0.2244486,0.002656167,0.7439985,0.0002487378,0.0001467848,0.0002609164,0.0006076677,0.0006756343,0.02695699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01054851,"threshold_uncertainty_score":0.03528827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005661024601040415,"score_gpt":0.1874269224721065,"score_spread":0.1817658978710661,"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."}}