{"id":"W2522855157","doi":"10.6084/m9.figshare.3833157.v1","title":"Ecology Introduction: A Study of Hair Colour & Gender","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Biology","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":[0.0006032973,0.0003075562,0.0001679198,0.0005564865,0.001601168,0.0009544547,0.0005058443,0.0006100636,0.02222565],"category_scores_gemma":[0.001093805,0.0001852448,0.0002113948,0.0007703805,0.0008360381,0.0008973877,0.0007623956,0.0007508469,0.002884945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009927687,"about_ca_system_score_gemma":0.001029118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716259,"about_ca_topic_score_gemma":0.04275201,"domain_scores_codex":[0.9996514,0.00008590012,0.000009738999,0.00006948713,0.0001321144,0.00005129027],"domain_scores_gemma":[0.9992067,0.0002420305,0.00008837481,0.00004752094,0.0002048066,0.0002106189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003219412,0.001757789,0.506958,0.001231123,0.00005083314,0.0007226075,0.02161482,0.0001691735,0.0158586,0.008390244,0.131933,0.3109919],"study_design_scores_gemma":[0.00001862181,0.0005553328,0.8357888,0.0002290621,0.00002197502,0.0006590779,0.01117268,0.00008966207,0.00194673,0.00238677,0.147106,0.00002542422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7398798,0.00593287,0.007545272,0.01678438,0.001597821,0.001215285,0.006618086,0.0001825647,0.2202439],"genre_scores_gemma":[0.8480918,0.004504016,0.008550135,0.005124933,0.0006185584,0.000852851,0.001447446,0.00005163748,0.1307586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222565,"threshold_uncertainty_score":0.0743522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160376086571519,"score_gpt":0.246598677356918,"score_spread":0.1949949164912028,"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."}}