{"id":"W6904744522","doi":"10.14288/1.0169466","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Action (physics); Work (physics); Subject (documents)","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000157612,0.00004009056,0.0000622963,0.00002000322,0.008574176,0.0003489619,0.0001918081,0.00003154934,0.005604943],"category_scores_gemma":[0.00005487373,0.00003634704,0.00003540025,0.0007084993,0.0001383245,0.0001962158,0.00009092766,0.00004748821,0.00007314624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005272154,"about_ca_system_score_gemma":0.000176144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2306682,"about_ca_topic_score_gemma":0.1751279,"domain_scores_codex":[0.999527,0.00005445128,0.00007576319,0.0001062361,0.00008616581,0.0001504234],"domain_scores_gemma":[0.999703,0.00002854347,0.00002500767,0.00009869831,0.00007715601,0.00006759645],"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":[0.000009364261,0.00009281463,0.0001449073,7.220182e-7,0.0000334868,0.000002599539,0.01747921,0.000001939068,0.000002113739,0.042716,0.9386892,0.0008276222],"study_design_scores_gemma":[0.000113365,0.00002225305,0.00099704,0.000002702895,0.00001277496,0.000001126881,0.005215136,0.000004935492,0.000008890912,0.005999993,0.9875544,0.00006735881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001837457,0.00002152999,0.00009294481,0.0008082299,0.0003991555,0.0002828161,0.000005193346,0.00003613123,0.9981703],"genre_scores_gemma":[0.1172222,0.00004818606,0.0008353415,0.0001010804,0.0001214096,0.00007284024,0.000001015362,0.000005008773,0.8815929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1170384,"threshold_uncertainty_score":0.995304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07573430509502278,"score_gpt":0.3202519824210741,"score_spread":0.2445176773260513,"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."}}