{"id":"W7017640306","doi":"","title":"Canada VMap1, Library 37: Embankment Fill Lines","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Base (topology); Levee; Vector map; Natural (archaeology); Geographic information system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005258284,0.000280432,0.0002908502,0.000243429,0.0005885044,0.0001685818,0.001004443,0.0001044478,0.001021588],"category_scores_gemma":[0.00003220248,0.0001928477,0.0001650504,0.0004085633,0.000505824,0.0004036914,0.0003754263,0.0001476722,0.0004472143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297575,"about_ca_system_score_gemma":0.001411268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.519054,"about_ca_topic_score_gemma":0.6921384,"domain_scores_codex":[0.9984906,0.00007661135,0.000177701,0.0002471693,0.000565409,0.0004425065],"domain_scores_gemma":[0.9990091,0.000154418,0.0002984158,0.0002789077,0.00003398444,0.0002251312],"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":[0.00001069876,0.000007089943,0.0004564679,0.00001402144,0.000174028,0.0000124079,0.002780463,9.282704e-7,8.944691e-8,0.02173758,0.9732012,0.00160506],"study_design_scores_gemma":[0.0002339318,0.00001174083,0.0001897196,0.0001580301,0.0000249314,8.186319e-7,0.009756176,2.595833e-7,6.547946e-7,0.0005491556,0.9887977,0.0002768907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003630177,0.00009875135,0.00007776442,0.003519769,0.0004294656,0.0004571316,0.004470618,0.0002602409,0.9906499],"genre_scores_gemma":[0.001618562,0.0001739426,0.00005548117,0.0002190656,0.0005454211,0.00000119257,0.0003100209,0.00006574199,0.9970106],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1730844,"threshold_uncertainty_score":0.9998916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784249647897075,"score_gpt":0.2111962122015949,"score_spread":0.1933537157226241,"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."}}