{"id":"W7057846345","doi":"","title":"Made in Montreal: a study of geography and priorities of small urban manufacturers in post-industrial Montreal","year":2012,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Human geography; Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000322945,0.0003169015,0.0002041235,0.002036538,0.004768956,0.002778517,0.001233065,0.0005668584,0.009502861],"category_scores_gemma":[0.00139197,0.0003468814,0.0002743273,0.006076909,0.001424595,0.0009447177,0.001643317,0.0004676819,0.0004282593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03058358,"about_ca_system_score_gemma":0.02673914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869694,"about_ca_topic_score_gemma":0.9964473,"domain_scores_codex":[0.9994453,0.00006809334,0.00001459525,0.00005831068,0.0001056358,0.0003080096],"domain_scores_gemma":[0.998683,0.0001125948,0.0002918672,0.00002799731,0.0003675012,0.0005169103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002175719,0.0002288681,0.8946335,0.0002951483,0.0001063626,0.00158889,0.04574676,0.0008483594,0.001910444,0.008101462,0.01521689,0.03110578],"study_design_scores_gemma":[0.000006320668,0.00003359381,0.9650825,0.0000253688,0.00001327822,0.00006728486,0.02474164,0.0001769452,0.0001169142,0.00006186359,0.009650225,0.00002406228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790533,0.000584577,0.0001258696,0.001208634,0.00001179347,0.0001003413,0.002751021,0.00002788849,0.01613658],"genre_scores_gemma":[0.9880103,0.0005663121,0.0002009437,0.0001377329,0.000007746395,0.0000447132,0.0007017175,0.0000121043,0.01031836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03058358,"threshold_uncertainty_score":0.2219004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541787527729427,"score_gpt":0.2254582347870761,"score_spread":0.2100403595097818,"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."}}