{"id":"W2981472066","doi":"10.4095/220546","title":"Geophysical series - NTS 64 L - Wollaston Lake, Saskatchewan","year":2005,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Geophysics; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004804254,0.001231027,0.0005906772,0.001881546,0.002407751,0.00149661,0.001555212,0.0006904625,0.1896105],"category_scores_gemma":[0.001338576,0.0005376895,0.0003971294,0.004089645,0.0006242543,0.001212389,0.001319712,0.001047404,0.05367384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004407416,"about_ca_system_score_gemma":0.01282021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6153071,"about_ca_topic_score_gemma":0.871392,"domain_scores_codex":[0.9995165,0.00003561181,0.00002076941,0.0001344949,0.0002027663,0.00008983802],"domain_scores_gemma":[0.9986975,0.0001593556,0.00005378045,0.0002115896,0.0007435165,0.0001343686],"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":[0.001654602,0.0004926727,0.0566956,0.0005612816,0.0001748205,0.001724389,0.0008937376,0.01342221,0.03192949,0.006090987,0.5130185,0.3733418],"study_design_scores_gemma":[0.0004243953,0.0002918391,0.2148758,0.0003755306,0.0001642162,0.0006620491,0.002783127,0.01966938,0.03363259,0.004683912,0.7222355,0.0002016669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1676039,0.001252396,0.01771324,0.002473419,0.0008434409,0.0009625427,0.1671393,0.005049285,0.6369624],"genre_scores_gemma":[0.1109259,0.001155175,0.014149,0.0002474903,0.00003848437,0.0003472041,0.04374149,0.0009659208,0.8284292],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3846929,"threshold_uncertainty_score":0.7739168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151711193587837,"score_gpt":0.2535040729952863,"score_spread":0.2383329536365026,"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."}}