{"id":"W3043509662","doi":"","title":"Abstract for The Labour Market during and after the Terms of Trade Boom | Bulletin – March Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Boom; Economics; Economic history; Business; Political science; History; Engineering","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":[0.001216992,0.0004678165,0.0004718544,0.001375378,0.00267212,0.005195982,0.0005691075,0.002857465,0.1207721],"category_scores_gemma":[0.003804259,0.0002297061,0.0004734775,0.00159356,0.0005274389,0.002172372,0.001458778,0.003515099,0.03100457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415461,"about_ca_system_score_gemma":0.007231986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0391485,"about_ca_topic_score_gemma":0.08783225,"domain_scores_codex":[0.999314,0.00007204338,0.00005514021,0.00006808374,0.0002751812,0.0002156154],"domain_scores_gemma":[0.9981073,0.0002498793,0.0002180906,0.00009084618,0.0007382846,0.0005955473],"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":[0.000129634,0.00002965456,0.001434926,0.00015721,0.00000474225,0.00005286153,0.0002732369,0.00005648868,0.0001814772,0.00229157,0.9735976,0.02179064],"study_design_scores_gemma":[0.00001033467,0.00002755671,0.009270734,0.000316683,0.000004669178,0.00001571518,0.0005315493,0.00002836778,0.0001322416,0.0004588994,0.9891939,0.000009304173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02307668,0.04643087,0.0004661536,0.3307762,0.1282773,0.0003404399,0.02626577,0.0003747886,0.4439918],"genre_scores_gemma":[0.02836299,0.009609255,0.0001717797,0.006016548,0.01238186,0.0001709621,0.004798389,0.0001758361,0.9383124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1207721,"threshold_uncertainty_score":0.4040228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516916796776111,"score_gpt":0.2610232441206086,"score_spread":0.2458540761528475,"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."}}