{"id":"W6945834033","doi":"10.26186/145878","title":"Aquatic Substrate Library - Heron Island 2004","year":2021,"lang":"en","type":"dataset","venue":"Geoscience Australia","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Heron; Substrate (aquarium); Aquatic ecosystem; Information system; Public access","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004265875,0.001249827,0.0009358842,0.00348153,0.0005287839,0.001739686,0.001723694,0.0005628556,0.1301395],"category_scores_gemma":[0.002045822,0.0006841361,0.0006486393,0.006900629,0.0001975507,0.001089953,0.001239493,0.001016342,0.1677101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097147,"about_ca_system_score_gemma":0.002009006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06889306,"about_ca_topic_score_gemma":0.1211225,"domain_scores_codex":[0.9995551,0.00003953842,0.00005675501,0.0001304431,0.0001554095,0.00006282046],"domain_scores_gemma":[0.9985023,0.0001617682,0.0001453338,0.0003761263,0.0006399821,0.0001745371],"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":[0.00002914666,0.000009362727,0.0007833456,0.0003136779,0.0000130731,0.00001202861,0.00001714671,0.0001201881,0.00007909861,0.0003001734,0.9946372,0.003685518],"study_design_scores_gemma":[0.00004150804,0.000006507077,0.007946473,0.000149255,0.00001016442,0.00001850154,0.00005620538,0.000213879,0.0002094876,0.0004617123,0.9908705,0.00001572756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009233625,0.00001574286,0.00004741848,0.00001056448,0.000007458881,0.000005202006,0.998176,0.0002293947,0.001415834],"genre_scores_gemma":[0.0002677071,0.00002741224,0.000201997,0.000008022461,0.000002469503,0.00003080663,0.9975574,0.0001121862,0.001791996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1301395,"threshold_uncertainty_score":0.4353601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371734310258242,"score_gpt":0.2754669159225329,"score_spread":0.2317495728199505,"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."}}