{"id":"W7095560127","doi":"","title":"State Policy9 Livelihood Protection and Gender on Canada's East Coast","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; State (computer science); Promotion (chess); East coast; Work (physics)","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":[0.000837415,0.0001618968,0.0003358433,0.0008325604,0.007746863,0.003768332,0.0008288517,0.0008020664,0.02322299],"category_scores_gemma":[0.00251884,0.0001685537,0.0002777702,0.001848974,0.00306449,0.0009740953,0.001836644,0.001259925,0.0004690836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0605268,"about_ca_system_score_gemma":0.07230487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899263,"about_ca_topic_score_gemma":0.9969303,"domain_scores_codex":[0.998697,0.0001224311,0.00001395624,0.00007783958,0.0002274124,0.0008614018],"domain_scores_gemma":[0.997712,0.0002506604,0.0001688715,0.00007438664,0.0009684085,0.0008257052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004137417,0.0001971854,0.2059072,0.0002345854,0.0001134085,0.0005256091,0.02811267,0.002173828,0.001449703,0.5779135,0.08610506,0.09685361],"study_design_scores_gemma":[0.00005868539,0.0001003887,0.4911895,0.0007866141,0.00008833014,0.00008660706,0.05420626,0.001731287,0.0009754382,0.01980466,0.4308672,0.0001051136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6609071,0.003423698,0.0004664054,0.02871105,0.0001184774,0.00005184141,0.00269535,0.00003190584,0.3035942],"genre_scores_gemma":[0.9251895,0.001047561,0.0001752238,0.000959626,0.00001527328,0.00001818383,0.000333814,0.00001633106,0.07224462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0605268,"threshold_uncertainty_score":0.4391547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576515345128855,"score_gpt":0.2368847929826674,"score_spread":0.07923325846978188,"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."}}