{"id":"W2807021522","doi":"10.4095/292608","title":"Blue Atlantic Pipeline Corridor geologic constraints, Scotian Shelf: desktop study","year":2013,"lang":"en","type":"report","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Pipeline (software); Oceanography; Mining engineering; Computer science; Operating system","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":[0.0003112336,0.0002183738,0.0002203421,0.001202041,0.0009610009,0.0006691811,0.0003335893,0.0002616981,0.003623396],"category_scores_gemma":[0.001084346,0.0002034431,0.0002242773,0.003508806,0.0003437919,0.0004580692,0.0007554103,0.0002749242,0.0004563625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00349916,"about_ca_system_score_gemma":0.006000879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9017631,"about_ca_topic_score_gemma":0.9707872,"domain_scores_codex":[0.9998178,0.00003421725,0.000007672841,0.00002702922,0.00003981223,0.00007352084],"domain_scores_gemma":[0.9989698,0.0001733309,0.0002213964,0.00007175792,0.0003237038,0.0002400805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001979432,0.0001147772,0.9793574,0.00005709893,0.0000437715,0.0005375932,0.00344563,0.0008623515,0.0009221638,0.0005564457,0.005990902,0.007913964],"study_design_scores_gemma":[0.000005774906,0.00002372774,0.9938092,0.00001328271,0.000009537285,0.0000416421,0.003659202,0.0001860574,0.00007420073,0.00002506357,0.002148424,0.00000384067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924166,0.00008379442,0.00004466121,0.00006768435,0.000002920796,0.0000161781,0.004182465,0.000003622628,0.003181958],"genre_scores_gemma":[0.9875683,0.0002929787,0.0002323134,0.00005872396,0.00000583809,0.00005195598,0.005365591,0.000005860102,0.006418355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09823692,"threshold_uncertainty_score":0.1976309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854545779566865,"score_gpt":0.3578283128943323,"score_spread":0.2892828550986636,"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."}}