{"id":"W6967034945","doi":"10.48579/pro/bzzksg","title":"Data and Analysis of \"Lost in Wilderness\" survey","year":2025,"lang":"en","type":"dataset","venue":"data.InDoRES","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Element (criminal law); Table (database); Set (abstract data type); Data set; Data format; Code (set theory)","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":[0.002014222,0.0008655994,0.001043442,0.003705649,0.0007611056,0.001139382,0.001525767,0.0008924523,0.02902515],"category_scores_gemma":[0.007119049,0.0004424655,0.0008698704,0.00571788,0.0003942814,0.0006436083,0.001758708,0.001299086,0.02696002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322763,"about_ca_system_score_gemma":0.002519088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361272,"about_ca_topic_score_gemma":0.03383746,"domain_scores_codex":[0.998176,0.0003121533,0.000268498,0.0004368847,0.000551987,0.0002545054],"domain_scores_gemma":[0.9965774,0.0006804832,0.0004599135,0.0008801736,0.001135929,0.0002660603],"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":[0.0002445685,0.0001627628,0.03019198,0.001481273,0.0001442478,0.0001564035,0.0005054916,0.00121642,0.001274737,0.001641847,0.939424,0.02355619],"study_design_scores_gemma":[0.0001125841,0.00008513235,0.1279961,0.0005114076,0.00007571207,0.0001870102,0.0007874473,0.0004592163,0.001448564,0.0009642414,0.8672821,0.00009063605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003586821,0.00005233811,0.0004598082,0.00007585367,0.00003356699,0.0001129372,0.9935687,0.0001777153,0.001932336],"genre_scores_gemma":[0.004411775,0.000059949,0.002203923,0.00006975501,0.00001547375,0.0007852466,0.9902395,0.0001198294,0.002094575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02902515,"threshold_uncertainty_score":0.09709889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09417941280967247,"score_gpt":0.3770903289756301,"score_spread":0.2829109161659576,"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."}}