{"id":"W6961024389","doi":"10.14288/1.0309326","title":"British Columbia Lumberman","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002225318,0.0007464951,0.0004461667,0.001705683,0.006943684,0.002788132,0.001102236,0.0007601518,0.4947146],"category_scores_gemma":[0.000850099,0.0003779668,0.0002289915,0.002446442,0.0005692711,0.0007621127,0.001452645,0.001186204,0.1099237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009472711,"about_ca_system_score_gemma":0.01016509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8221879,"about_ca_topic_score_gemma":0.9725077,"domain_scores_codex":[0.999667,0.00001828944,0.000007558092,0.00008415422,0.0001336285,0.00008936505],"domain_scores_gemma":[0.9993091,0.00004061772,0.00002511379,0.00004940394,0.0004264151,0.0001492936],"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":[0.0001450557,0.00006608447,0.004694545,0.0001544711,0.00001105336,0.0005699193,0.0004096422,0.0001515292,0.0008156869,0.005508885,0.7412752,0.2461979],"study_design_scores_gemma":[0.00001246922,0.00001353253,0.0194993,0.0001615613,0.000009757056,0.00009852707,0.0009875054,0.0001419797,0.0003155291,0.0006328713,0.9781099,0.00001701299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01421004,0.002642713,0.0004062918,0.001887606,0.0005225801,0.00008254901,0.00849975,0.0004069424,0.9713415],"genre_scores_gemma":[0.007111053,0.0005784053,0.0002777118,0.0001758893,0.00001540022,0.00001358782,0.001238321,0.00006195703,0.9905277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4947146,"threshold_uncertainty_score":0.7207282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197483495670903,"score_gpt":0.2473394743565213,"score_spread":0.2275911247894311,"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."}}