{"id":"W6951001110","doi":"10.5683/sp3/42znas","title":"Humpback Whale 3D Model","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; National Research Council Canada; McGill University","funders":"","keywords":"Humpback whale; Lidar; Mobile device; 3d model; Whale","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":[0.0006231335,0.003043105,0.001417547,0.002408912,0.0008446593,0.001411637,0.003288092,0.00203168,0.04924954],"category_scores_gemma":[0.001967397,0.0007250838,0.001950626,0.002973337,0.0004772286,0.0008793322,0.001895964,0.001740132,0.09826897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007768269,"about_ca_system_score_gemma":0.001199798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04748109,"about_ca_topic_score_gemma":0.1204886,"domain_scores_codex":[0.9994173,0.00006421615,0.00004151955,0.0002074295,0.0001679899,0.0001016601],"domain_scores_gemma":[0.9994785,0.00008807488,0.00003149401,0.0001590204,0.0001832488,0.00005976416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001064703,0.00005770781,0.00210431,0.0003911616,0.00005655679,0.0001004927,0.00005048248,0.001518126,0.0004396485,0.0004338527,0.9854109,0.009330261],"study_design_scores_gemma":[0.0001664023,0.00006163863,0.007799991,0.000256327,0.00006607792,0.0003099588,0.0001759512,0.006145536,0.001184173,0.001510895,0.9822494,0.00007356587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009078357,0.0001748702,0.0006242255,0.00007437968,0.00008040912,0.00003689418,0.9948425,0.00168676,0.001572147],"genre_scores_gemma":[0.001105528,0.00005268923,0.0008259142,0.00002594267,0.000006295471,0.00007743359,0.9969314,0.00008073842,0.0008938407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04924954,"threshold_uncertainty_score":0.1647561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264681601091125,"score_gpt":0.298167104886922,"score_spread":0.2655202888760108,"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."}}