{"id":"W4413244140","doi":"10.1016/j.dsr2.2025.105525","title":"A cost-effective, open-source laboratory system for 3D photogrammetric analysis of corals","year":2025,"lang":"en","type":"article","venue":"Deep Sea Research Part II Topical Studies in Oceanography","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundação para a Ciência e a Tecnologia; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Photogrammetry; Oceanography; Geology; Open source; Remote sensing; Environmental science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333326,0.0002278346,0.0009748573,0.001162971,0.00069414,0.00004982012,0.0007367671,0.00009550127,0.00005146552],"category_scores_gemma":[0.001025038,0.0001837681,0.0002857582,0.01374626,0.0008254158,0.00013434,0.003458933,0.0002744757,0.000007272137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949601,"about_ca_system_score_gemma":0.00001844862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004993041,"about_ca_topic_score_gemma":0.00448207,"domain_scores_codex":[0.996865,0.0005251654,0.0006029468,0.0006691433,0.0005965561,0.0007412031],"domain_scores_gemma":[0.9972734,0.001760776,0.0001189106,0.0004601252,0.0002708189,0.0001159356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002280656,0.0004380762,0.9265316,0.0004336992,0.002029775,0.000008711199,0.0006024754,0.0001047963,0.0000189677,0.0008365601,0.009642804,0.0591245],"study_design_scores_gemma":[0.00214318,0.0009169643,0.3437089,0.0002946764,0.0005337217,5.424129e-7,0.005827649,0.005391993,0.0003644905,0.0004361508,0.6399373,0.0004444437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663875,0.004469871,0.001330162,0.0004832756,0.0005959144,0.009215795,0.000142278,0.00009900261,0.01727624],"genre_scores_gemma":[0.9941522,0.0005079105,0.0006415835,0.00008464844,0.00004066898,0.003687139,0.00001421754,0.00001264024,0.0008589196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6302945,"threshold_uncertainty_score":0.7493847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100605390583974,"score_gpt":0.4095925312008242,"score_spread":0.3089871406168502,"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."}}