{"id":"W6943704405","doi":"10.17605/osf.io/3kjpv","title":"Yukon Marine Life Study","year":2022,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine life; Citizen science; Reef; Marine debris; Animal life","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":[0.0001284564,0.0001887296,0.0001769922,0.0006093357,0.001332481,0.0005192875,0.0002545034,0.0003213336,0.004998512],"category_scores_gemma":[0.0001895608,0.0001675356,0.0002199102,0.0007258145,0.0002574683,0.0002715455,0.001058859,0.0002889153,0.0008425866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693149,"about_ca_system_score_gemma":0.00351171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4045854,"about_ca_topic_score_gemma":0.6903732,"domain_scores_codex":[0.9999186,0.000007271262,0.000005498738,0.00002262415,0.00001684096,0.00002922686],"domain_scores_gemma":[0.9997692,0.00001155058,0.00002154374,0.00004035927,0.00008301214,0.0000743216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006081343,0.0002298014,0.7742471,0.0008003374,0.0002213849,0.003332792,0.009303634,0.0003799238,0.01337405,0.00485737,0.0910714,0.1015741],"study_design_scores_gemma":[0.00001743784,0.00004945879,0.9405327,0.00003404724,0.00002690382,0.000279841,0.005413578,0.0001972068,0.0005193576,0.0001334314,0.05278251,0.00001343824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148102,0.0005323343,0.0008652813,0.0007652644,0.0000738636,0.0002048644,0.04063175,0.0001270837,0.04198931],"genre_scores_gemma":[0.9157924,0.0005622593,0.003697204,0.0004485059,0.00001663624,0.0002968605,0.03454661,0.00006034032,0.04457926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5954146,"threshold_uncertainty_score":0.8044608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227957673460527,"score_gpt":0.2512189392229622,"score_spread":0.2289393624883569,"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."}}