{"id":"W6947768699","doi":"10.4224/21275176","title":"Image-based 3D modeling: a review","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photogrammetry; Pipeline (software); Range (aeronautics); Image processing; Data processing; 3D modeling","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":[0.0001073754,0.00006818328,0.00009462809,0.00001094749,0.00008140526,0.00001035871,0.000152855,0.00003099638,0.02730999],"category_scores_gemma":[0.000007382979,0.00006340002,0.00004046306,0.00008474736,0.00008611048,0.00009701771,0.00007844895,0.00005643713,0.004954178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005456316,"about_ca_system_score_gemma":0.000005854888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003622904,"about_ca_topic_score_gemma":0.0003110852,"domain_scores_codex":[0.9994037,0.0000259963,0.00009586116,0.0001682522,0.0001138184,0.0001924275],"domain_scores_gemma":[0.9997862,0.000006730857,0.00002070926,0.0001430328,0.000004373469,0.00003892963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002272137,0.0002083818,0.01275607,0.0001949316,0.000006064645,0.00007683932,0.00002472866,0.01083253,0.04179502,0.0002781216,0.9318572,0.001947336],"study_design_scores_gemma":[0.0006462346,0.00008327068,0.001109126,0.00008958046,0.00004463607,0.000008992263,0.000006180068,0.886819,0.00203849,0.008060347,0.1007398,0.0003543589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.188574,0.0004236177,0.008034922,0.008862636,0.0001981932,0.0004361403,0.00002036508,0.0001783255,0.7932718],"genre_scores_gemma":[0.9505209,0.0001674415,0.03098417,0.01474238,0.00005752149,0.00001942206,0.0000566357,0.00001721433,0.003434357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8759865,"threshold_uncertainty_score":0.9958206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106105322233418,"score_gpt":0.196058616878484,"score_spread":0.1849975636561498,"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."}}