{"id":"W6955935310","doi":"10.58079/qtn1","title":"Panel DIREPA au congrès DNC3ALED, 2019","year":2019,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Point (geometry)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001134525,0.0006948785,0.0007414498,0.000357758,0.0009244098,0.00215258,0.001341774,0.0005455338,0.007417733],"category_scores_gemma":[0.000193931,0.000763081,0.0003461217,0.0009991936,0.0005777586,0.04564366,0.0005216812,0.0007558268,0.0344971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059468,"about_ca_system_score_gemma":0.0015112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005725446,"about_ca_topic_score_gemma":0.0004486943,"domain_scores_codex":[0.9946883,0.0004603182,0.001054184,0.001546492,0.001045954,0.001204761],"domain_scores_gemma":[0.9960316,0.0002849447,0.0007321737,0.001279583,0.001161695,0.0005100028],"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":[0.0001624513,0.0009318471,0.002343601,0.000863626,0.0002672446,0.0002229401,0.001015152,0.0007000435,0.001958387,0.4999782,0.1093807,0.3821758],"study_design_scores_gemma":[0.005323592,0.0008952218,0.03789062,0.00250118,0.0002754286,0.002914728,0.0004777525,0.0255839,0.01287141,0.01563616,0.8927844,0.002845568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05830047,0.01344126,0.1833071,0.2625694,0.1531421,0.00379189,0.001158695,0.001396804,0.3228923],"genre_scores_gemma":[0.5686463,0.001073309,0.02286266,0.02953297,0.005717618,0.000286155,0.001339703,0.0001580228,0.3703832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7834037,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026942844250205,"score_gpt":0.2520071196771957,"score_spread":0.2217376912346937,"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."}}