{"id":"W7008205548","doi":"","title":"Assessing horizontal positional accuracy of Google Earth imagery in the city of Montreal, Canada","year":2017,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Satellite imagery; Earth (classical element); Earth observation; Earth observation satellite","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005956088,0.0004589497,0.000779597,0.0003576409,0.0001216115,0.0001385406,0.0009475076,0.0002713121,0.0009566786],"category_scores_gemma":[0.0005316896,0.0003785542,0.0001724193,0.0002475053,0.000316748,0.0003526528,0.0001228994,0.0005519218,0.0000661881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569256,"about_ca_system_score_gemma":0.002433588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8983788,"about_ca_topic_score_gemma":0.9830992,"domain_scores_codex":[0.9971622,0.000355328,0.0003770491,0.0004706967,0.001158192,0.000476503],"domain_scores_gemma":[0.9965047,0.0004440512,0.001617051,0.001215126,0.0001189796,0.0001000467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009339271,0.0002834774,0.007267334,0.0001657578,0.0001893217,0.0002528771,0.000312216,0.0000121809,0.00653693,0.0001342063,0.9834911,0.001261202],"study_design_scores_gemma":[0.002322043,0.0001218141,0.5688166,0.003153144,0.0002639857,0.0001060497,0.001042893,0.00007636812,0.003102866,0.00009632939,0.4195794,0.00131849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09246031,0.001631446,0.00003177873,0.0005253256,0.0005690944,0.0009293489,0.004285295,0.00007793116,0.8994895],"genre_scores_gemma":[0.8909768,0.00004347017,0.0006494758,0.00006354583,0.0004718711,0.00003002188,0.0003731367,0.0006380344,0.1067537],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7985165,"threshold_uncertainty_score":0.9999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732722081219866,"score_gpt":0.2841484711569534,"score_spread":0.2668212503447547,"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."}}