{"id":"W6886034752","doi":"10.14286/5pgkcf","title":"Apoqnmatulti'k - Bras D'Or Lake","year":2024,"lang":"en","type":"dataset","venue":"Ocean Tracking Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Situated; Habitat; Fish <Actinopterygii>; Traditional knowledge; Tracking (education); Resilience (materials science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002132391,0.0008280523,0.001000786,0.002406846,0.001427229,0.004692819,0.002212739,0.0007265478,0.3363142],"category_scores_gemma":[0.007874963,0.0008119761,0.0007149193,0.003088451,0.000501888,0.003561771,0.007496221,0.001077199,0.1806475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423832,"about_ca_system_score_gemma":0.005895404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06207014,"about_ca_topic_score_gemma":0.1058736,"domain_scores_codex":[0.9984494,0.0001558846,0.00008586002,0.0004967406,0.0005600096,0.0002520211],"domain_scores_gemma":[0.995165,0.0004452871,0.0003060206,0.001706926,0.001388061,0.0009887636],"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":[0.0001595165,0.00002064144,0.002450144,0.0002902545,0.0000195808,0.00003764462,0.0001529581,0.0001131022,0.0005997847,0.002262155,0.9673257,0.02656853],"study_design_scores_gemma":[0.00002460384,0.000009600662,0.004729746,0.00007667031,0.000005125136,0.00002321417,0.0001332002,0.0003108027,0.0003774503,0.0008825827,0.9934101,0.00001698092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003600938,0.0002631684,0.006292912,0.00126927,0.0009273838,0.0003481619,0.8625715,0.01974649,0.1049802],"genre_scores_gemma":[0.01367457,0.0002552862,0.01870246,0.0005049091,0.0001210867,0.0008792215,0.8613189,0.01362864,0.09091489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9379299,"threshold_uncertainty_score":0.9466673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871982129827262,"score_gpt":0.2927913021236261,"score_spread":0.2640714808253535,"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."}}