{"id":"W6894282051","doi":"10.5683/sp3/p1y5ey","title":"Dall's Porpoise 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":"Porpoise; Mobile device; Lidar; 3d model","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":[0.0005563924,0.003127318,0.001331957,0.002126704,0.0008304291,0.001346628,0.002901868,0.001831196,0.02546041],"category_scores_gemma":[0.001652544,0.0008075216,0.001814514,0.002965881,0.0006383689,0.0008831864,0.001817742,0.002161551,0.04894043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101597,"about_ca_system_score_gemma":0.001507978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05490761,"about_ca_topic_score_gemma":0.1492499,"domain_scores_codex":[0.9993824,0.00005960059,0.00002899423,0.0002386141,0.0001876592,0.0001028429],"domain_scores_gemma":[0.9995497,0.00006441685,0.00003215375,0.00012236,0.0001709957,0.00006036888],"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":[0.0001738853,0.00008955255,0.003516487,0.0004818549,0.00008409179,0.000130397,0.00008265151,0.003745243,0.0008003028,0.0005958189,0.9758523,0.01444751],"study_design_scores_gemma":[0.0001844114,0.00007168372,0.009515679,0.0003018351,0.0000751317,0.0003290273,0.000220417,0.01294183,0.001745303,0.001898176,0.9726384,0.00007810717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00236956,0.0003863465,0.001623153,0.000187417,0.0001335975,0.00006543734,0.9879559,0.004184593,0.003094004],"genre_scores_gemma":[0.002361305,0.0001086921,0.00205895,0.00003925061,0.000008613026,0.00008872923,0.9941099,0.0001540434,0.0010705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05490761,"threshold_uncertainty_score":0.109176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699975441807675,"score_gpt":0.2884481154844218,"score_spread":0.2614483610663451,"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."}}