{"id":"W6894360823","doi":"10.5683/sp3/8buu1i","title":"Harbour Seal 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; McGill University","funders":"","keywords":"Harbour; Seal (emblem); Mobile device; 3d model; Lidar","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":[0.0008779939,0.00309282,0.00183906,0.00223306,0.0008888587,0.00161662,0.003277484,0.002104173,0.04676728],"category_scores_gemma":[0.002111668,0.0009803192,0.002641988,0.002243218,0.0005949149,0.001067823,0.002220679,0.001853142,0.07783574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008653302,"about_ca_system_score_gemma":0.001615008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0392161,"about_ca_topic_score_gemma":0.1138792,"domain_scores_codex":[0.9992078,0.00008815234,0.00005388131,0.0002987587,0.0002384685,0.0001130634],"domain_scores_gemma":[0.999476,0.00008344588,0.00003420848,0.0001598575,0.0001949104,0.00005152629],"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":[0.0002396381,0.00007765699,0.003478682,0.0006809001,0.0001353241,0.0001604138,0.0001036702,0.005514902,0.00131781,0.0008856953,0.9664893,0.02091606],"study_design_scores_gemma":[0.000193151,0.0001030435,0.007342746,0.0003539707,0.0001089231,0.0004830625,0.000214267,0.01527698,0.002361629,0.002316899,0.9711524,0.00009274943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002746906,0.0005647156,0.003132824,0.0001778062,0.0001947784,0.00008134949,0.9834959,0.006003618,0.003602137],"genre_scores_gemma":[0.003729745,0.0001542627,0.004166493,0.00005840417,0.00001271296,0.0001454528,0.9891133,0.0004047487,0.002214735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04676728,"threshold_uncertainty_score":0.1564522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757138234647525,"score_gpt":0.293036079419208,"score_spread":0.2654646970727327,"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."}}