{"id":"W6960967206","doi":"10.14288/1.0134219","title":"Development Map Series : City of Vancouver","year":2014,"lang":"en","type":"other","venue":"Open Collections","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Field (mathematics); Development (topology); Urban planning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003386763,0.001308543,0.0005168439,0.004018553,0.003016907,0.003914307,0.001047901,0.0006029466,0.3860255],"category_scores_gemma":[0.001347705,0.000566638,0.0003369599,0.009932221,0.0004343441,0.0009052744,0.0009625651,0.001178268,0.1353046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006826848,"about_ca_system_score_gemma":0.01488739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8122812,"about_ca_topic_score_gemma":0.9379671,"domain_scores_codex":[0.9996181,0.00002384484,0.00001288058,0.00005074626,0.0002058038,0.00008861479],"domain_scores_gemma":[0.9989762,0.00004732971,0.00003109196,0.00005304069,0.0007249158,0.0001674505],"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":[0.00002862713,0.00001415992,0.0006799698,0.00007556802,0.000002366532,0.00002574468,0.00006819232,0.0001199772,0.00004856926,0.0009959551,0.9670849,0.03085586],"study_design_scores_gemma":[0.000007744169,0.000004625309,0.006487732,0.00004733119,0.000002805889,0.000016878,0.000288428,0.0001224782,0.0001218108,0.000264765,0.9926274,0.000008024482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002382009,0.0007862156,0.0005751335,0.0006027336,0.0005231394,0.0001598115,0.1578927,0.001125579,0.8359527],"genre_scores_gemma":[0.003332828,0.0006192169,0.0004711826,0.00003286208,0.00002385438,0.00005778304,0.02705796,0.0003878787,0.9680163],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8122812,"threshold_uncertainty_score":0.8757601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182415067951847,"score_gpt":0.2711060855068938,"score_spread":0.2492819348273753,"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."}}