{"id":"W6969336973","doi":"10.5683/sp3/gijndx","title":"Risso's Dolphin 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":"Mobile device; Lidar; Event (particle physics); 3d model; Data collection","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":[0.0008287723,0.003382415,0.001499005,0.002449546,0.0008492796,0.001469609,0.003567837,0.002007492,0.03127681],"category_scores_gemma":[0.001964476,0.000733627,0.002310963,0.002971411,0.000587923,0.0008169693,0.00179496,0.00222124,0.05440415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130179,"about_ca_system_score_gemma":0.001858441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06377047,"about_ca_topic_score_gemma":0.174971,"domain_scores_codex":[0.9992343,0.00007694651,0.00004564416,0.0002782435,0.0002377965,0.0001270854],"domain_scores_gemma":[0.9995493,0.00006734749,0.00002816531,0.0001324972,0.0001610693,0.00006154885],"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":[0.000143971,0.00008741405,0.002297244,0.0005110649,0.00007895658,0.0001075093,0.0000614258,0.002519388,0.0006815008,0.0005682876,0.9808911,0.01205218],"study_design_scores_gemma":[0.000294258,0.00007852961,0.007786646,0.0004094756,0.00009278791,0.0003892755,0.0002352107,0.0111226,0.00179787,0.002308694,0.9753841,0.0001005413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001140414,0.0002504468,0.0007458957,0.00009903,0.00009055286,0.00005330084,0.9932435,0.002650295,0.001726533],"genre_scores_gemma":[0.001429861,0.00007836885,0.001757325,0.00004059674,0.000006547129,0.00008173526,0.9958159,0.0001142027,0.000675506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06377047,"threshold_uncertainty_score":0.1267986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797202770779594,"score_gpt":0.2982533982329841,"score_spread":0.2702813705251882,"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."}}