{"id":"W2496389207","doi":"","title":"CONTRIBUTION DE LA PHOTOGRAMMÉTRIE NUMÉRIQUE À LA ROBOTIQUE : UN EXEMPLE D’APPLICATION","year":2019,"lang":"fr","type":"article","venue":"GEOMATICA","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002441685,0.0001307597,0.0001902069,0.00007446001,0.0003959099,0.00008945426,0.0002435255,0.0007623959,0.001355657],"category_scores_gemma":[0.0005407535,0.0001463491,0.00007913207,0.0004425185,0.0004709117,0.0003385118,0.00004519386,0.0005137941,0.003161608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741053,"about_ca_system_score_gemma":0.000195778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006801411,"about_ca_topic_score_gemma":0.00006479632,"domain_scores_codex":[0.9981149,0.0007934246,0.0003085857,0.0001611596,0.0001850613,0.0004368032],"domain_scores_gemma":[0.9986347,0.0006973497,0.0002303875,0.0002299837,0.0001228107,0.00008478878],"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":[0.00001068617,0.00007543977,0.004868873,0.00006257169,0.00003059635,0.000002393213,0.01304708,0.0003622054,0.0002762252,0.946156,0.0006890802,0.03441881],"study_design_scores_gemma":[0.0008238403,0.00008429083,0.009600684,0.0001332908,0.0000340547,0.00004102312,0.008834354,0.01705712,0.002633071,0.1803732,0.7800103,0.0003747151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297183,0.0006094022,0.2422857,0.01200705,0.0004486614,0.001128719,0.00001386363,0.0005139423,0.2132743],"genre_scores_gemma":[0.9938495,0.0001738745,0.002097212,0.0002925944,0.0000874198,0.00007861822,0.00004309868,0.00001104883,0.003366592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793213,"threshold_uncertainty_score":0.9995573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0031056926194859,"score_gpt":0.2589137857458584,"score_spread":0.2558080931263725,"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."}}