{"id":"W4393794339","doi":"10.5281/zenodo.10221750","title":"Light House, Peggy Cove, Nova Scotia, Canada","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Cove; Nova (rocket); Archaeology; Geography; Art; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004462096,0.002129761,0.00122067,0.002498662,0.001855017,0.002683461,0.002005777,0.0009448882,0.05094585],"category_scores_gemma":[0.0028375,0.000577366,0.0007979083,0.006743983,0.0005703861,0.0008041813,0.001293324,0.001145199,0.1085561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004705026,"about_ca_system_score_gemma":0.005920687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6935769,"about_ca_topic_score_gemma":0.886744,"domain_scores_codex":[0.9993997,0.00005359541,0.00003402757,0.0002099564,0.0001574239,0.0001453114],"domain_scores_gemma":[0.9986864,0.0001319571,0.00007193554,0.0003680581,0.0005475285,0.0001941501],"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":[0.00006175137,0.000009776844,0.0008724392,0.0001751169,0.00001201174,0.0000291302,0.00003433627,0.0001399795,0.00009665765,0.0002205421,0.995021,0.003327338],"study_design_scores_gemma":[0.00006478311,0.00001100143,0.0126442,0.0003667428,0.00001822933,0.00008059014,0.0002575451,0.0006117685,0.0004841703,0.0006006972,0.9848279,0.00003239123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003724194,0.0001311155,0.00007742103,0.00005220794,0.00002703841,0.00001556457,0.9959354,0.000439289,0.002949505],"genre_scores_gemma":[0.000859606,0.0001313605,0.0002471643,0.00002247806,0.000004632814,0.00002534556,0.9953681,0.00008266824,0.003258567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3064231,"threshold_uncertainty_score":0.6164554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268221833245354,"score_gpt":0.2644823989902796,"score_spread":0.2318001806578261,"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."}}