{"id":"W2139915194","doi":"10.1111/j.1467-8659.2004.00775.x","title":"The Design of an Inexpensive Very High Resolution Scan Camera System","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scanner; Rendering (computer graphics); Computer vision; Computer graphics (images); Artificial intelligence; Digital camera; Software; Camera resectioning; Pixel; Digital photography; Photography","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":[0.0002766009,0.0004143774,0.0004794658,0.0005969316,0.0004127462,0.0008454923,0.001625838,0.0006190201,0.01067807],"category_scores_gemma":[0.0005528611,0.0005411761,0.0003205445,0.0003143912,0.0002567738,0.0008020094,0.0006812838,0.0005928854,0.003260749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745913,"about_ca_system_score_gemma":0.000817634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106105,"about_ca_topic_score_gemma":0.00120169,"domain_scores_codex":[0.9993961,0.00004931691,0.00002677997,0.0000966943,0.0003890334,0.00004205437],"domain_scores_gemma":[0.999518,0.00005203393,0.00003592449,0.00006150204,0.0002733206,0.00005905941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004235753,0.0001845864,0.003197877,0.000501316,0.0001021761,0.0006410098,0.0002224159,0.005626047,0.614705,0.007191897,0.01323171,0.3539726],"study_design_scores_gemma":[0.0004987817,0.002799014,0.0156305,0.000171794,0.0004459028,0.005950424,0.0002786333,0.242771,0.5039759,0.002463412,0.2247232,0.0002914527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05455327,0.0004667023,0.923536,0.0003246626,0.0002428881,0.0008559388,0.0002339229,0.005123176,0.0146634],"genre_scores_gemma":[0.2854299,0.0004051568,0.6905345,0.0003696652,0.0001260273,0.0007892452,0.0004339154,0.0003300843,0.02158145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067807,"threshold_uncertainty_score":0.03572172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467286645313163,"score_gpt":0.2418393744043301,"score_spread":0.2271665079511985,"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."}}