{"id":"W6925362143","doi":"10.17605/osf.io/kmfkk","title":"Yukon Marine Life Survey","year":2016,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine life; Marine debris; Reef; Artificial reef; Marine 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001281353,0.0003104435,0.0002162144,0.001943445,0.0008052806,0.0002561265,0.0005131353,0.0002803571,0.004833117],"category_scores_gemma":[0.0002627727,0.0002305082,0.0002576416,0.001871602,0.0001526674,0.0002369041,0.0007085493,0.0002436815,0.001553751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198005,"about_ca_system_score_gemma":0.003392363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4824636,"about_ca_topic_score_gemma":0.7356458,"domain_scores_codex":[0.9998822,0.00000661107,0.00001424459,0.00003466299,0.0000257453,0.00003649902],"domain_scores_gemma":[0.9995447,0.0000106977,0.00006026826,0.00005148306,0.0002659553,0.00006690635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002135904,0.0001084739,0.8775686,0.0006190705,0.0001737889,0.001238904,0.003441678,0.0005601898,0.01246138,0.0008895657,0.04889771,0.05382704],"study_design_scores_gemma":[0.000005907464,0.00003591533,0.9694573,0.00001878366,0.00001781934,0.000169117,0.001035167,0.00008636059,0.0004599522,0.0000194233,0.02868656,0.000007749796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031794,0.0009886083,0.001016216,0.0002840942,0.00006258716,0.0003647564,0.1638882,0.0001661811,0.03004982],"genre_scores_gemma":[0.7334759,0.001495356,0.005011221,0.0005331818,0.00001999267,0.0009582603,0.2026561,0.00007407917,0.0557758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5175364,"threshold_uncertainty_score":0.9593107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731338738493624,"score_gpt":0.2463046160223879,"score_spread":0.2289912286374517,"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."}}