{"id":"W830378138","doi":"","title":"A monocular approach to 3-D reconstruction based on bilateral symmetry","year":2000,"lang":"en","type":"article","venue":"Machine Graphics and Vision","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Monocular; Artificial intelligence; Symmetry (geometry); Computer vision; Computer science; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004545587,0.0004672788,0.0007059433,0.0008067068,0.0004242599,0.0008351504,0.0009099546,0.0006151308,0.004546789],"category_scores_gemma":[0.0009013454,0.0004710944,0.0007658986,0.0008654428,0.000483108,0.001080988,0.001167069,0.0007352011,0.00125843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003631294,"about_ca_system_score_gemma":0.0006078928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929295,"about_ca_topic_score_gemma":0.002990606,"domain_scores_codex":[0.9994974,0.00007080795,0.00001925983,0.00006260148,0.0003176719,0.00003221618],"domain_scores_gemma":[0.999764,0.00005855964,0.00001667845,0.00006104624,0.00008111095,0.0000185342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002118405,0.00009935554,0.0004697619,0.0002485396,0.00009774291,0.0002136835,0.0002133894,0.06966257,0.1077608,0.1058474,0.007133111,0.7080417],"study_design_scores_gemma":[0.00003648736,0.0001045971,0.0005886302,0.00002452946,0.00004169062,0.0007460064,0.00005087836,0.9137265,0.03382821,0.03426708,0.01652342,0.00006197528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00156887,0.00008793224,0.9968592,0.00003576164,0.00002263215,0.00001666878,0.00002083926,0.0001634932,0.0012247],"genre_scores_gemma":[0.04589287,0.0003459707,0.9502473,0.00006913835,0.00004544025,0.00004724958,0.00008525031,0.00009338667,0.003173426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004546789,"threshold_uncertainty_score":0.01521051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009264412665214734,"score_gpt":0.2613650548479746,"score_spread":0.2521006421827598,"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."}}