{"id":"W2354031718","doi":"10.1088/1755-1315/34/1/012002","title":"Laying the foundation for a digital Nova Scotia","year":2016,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nova Scotia","funders":"","keywords":"Nova scotia; Nova (rocket); Global Positioning System; Geography; Automation; Computer science; Cartography; Engineering; Telecommunications; Aeronautics; Archaeology","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":[0.002054908,0.000467424,0.0002703482,0.001713587,0.004088775,0.00630122,0.001381687,0.001287759,0.02103528],"category_scores_gemma":[0.006468792,0.0003701111,0.0003498359,0.001322724,0.002662276,0.003070572,0.008182161,0.002265451,0.004369023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01288839,"about_ca_system_score_gemma":0.03644557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6011761,"about_ca_topic_score_gemma":0.740806,"domain_scores_codex":[0.9986457,0.0001996218,0.00007874805,0.0001722322,0.0004866678,0.0004171202],"domain_scores_gemma":[0.9951392,0.0004285805,0.0001931895,0.0005701514,0.001746303,0.001922393],"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":[0.0004475655,0.0001347642,0.0206399,0.0006282607,0.00005289978,0.004605222,0.005806747,0.003194014,0.008752055,0.3167352,0.3344873,0.304516],"study_design_scores_gemma":[0.00002859725,0.00003744611,0.01111073,0.0004516051,0.00001040031,0.0003945357,0.002481745,0.0008802477,0.0009143657,0.006621003,0.9770328,0.00003645543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1120185,0.01055567,0.02790613,0.1589511,0.007866222,0.0007292227,0.00693492,0.001841835,0.6731964],"genre_scores_gemma":[0.4887569,0.007871081,0.09212074,0.01720483,0.0007366957,0.0003150691,0.005781048,0.0007639145,0.3864497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3988239,"threshold_uncertainty_score":0.8023453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044918584016215,"score_gpt":0.2467697819955481,"score_spread":0.2263205961553859,"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."}}