{"id":"W7100987762","doi":"","title":"Canadian Labour Market and Skills Researcher Network","year":2010,"lang":"en","type":"article","venue":"","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Productivity; Work (physics); Qualitative research","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":[0.0008000144,0.00004335939,0.00005810173,0.00002993732,0.0006209043,0.0001063038,0.00008461318,0.00005686222,0.005223027],"category_scores_gemma":[0.0003257858,0.0000356288,0.00001301523,0.0001411884,0.000176583,0.00009961654,0.000029143,0.0001202296,0.00006223971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001555925,"about_ca_system_score_gemma":0.0002500857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6587192,"about_ca_topic_score_gemma":0.9928774,"domain_scores_codex":[0.9992296,0.00006783762,0.00004972059,0.0000901805,0.0001391999,0.0004235315],"domain_scores_gemma":[0.9993407,0.0001239043,0.000008417487,0.00008193792,0.00004657331,0.0003984701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003539557,0.00001137451,0.5451679,0.000002752412,0.00001438706,0.000007056235,0.01170077,1.247035e-7,0.000008104002,0.07563415,0.3507143,0.01673554],"study_design_scores_gemma":[0.00005080796,0.000006672313,0.4420804,0.000001970706,0.000001255919,2.924413e-7,0.002347128,9.309036e-7,0.000001347101,0.004141621,0.5513155,0.00005206864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4354213,0.00004812398,9.085656e-7,0.007308614,0.0001248184,0.00005571109,0.000003099821,0.00001544496,0.557022],"genre_scores_gemma":[0.8788977,0.00008309384,0.0002374718,0.001166509,0.0003567342,0.000002330239,3.382883e-7,0.000003311295,0.1192525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4434764,"threshold_uncertainty_score":0.9956864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569873107093963,"score_gpt":0.314370664688709,"score_spread":0.2986719336177694,"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."}}