{"id":"W6944312432","doi":"10.18164/c6df8218-6ac0-4dab-b697-228e318e44ed","title":"Lake Winnipeg Satellite-derived Daily Algal Bloom Indices","year":2019,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Quebec; Government of Canada; Environment and Climate Change Canada","funders":"","keywords":"Algal bloom; Bloom; Satellite; Eutrophication; Moderate-resolution imaging spectroradiometer; Suite","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":[],"consensus_categories":[],"category_scores_codex":[0.0002661569,0.0008728,0.0006012348,0.00234063,0.0008699632,0.00119267,0.001603698,0.0004703933,0.02076532],"category_scores_gemma":[0.001772279,0.000424098,0.0003862955,0.005899444,0.0002051997,0.0004709074,0.0008742965,0.0005923748,0.01239004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005273834,"about_ca_system_score_gemma":0.006669693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8535028,"about_ca_topic_score_gemma":0.8938824,"domain_scores_codex":[0.9997298,0.00001560787,0.00001746276,0.00006676913,0.0001104504,0.00005985392],"domain_scores_gemma":[0.9993469,0.0000349044,0.00004860062,0.00005808893,0.0004416289,0.00006989817],"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":[0.00005537673,0.00001307374,0.003543607,0.0003447077,0.00003204296,0.00004174832,0.00006943745,0.0003155201,0.0002296342,0.0007638852,0.9891423,0.005448714],"study_design_scores_gemma":[0.00008289015,0.000006020006,0.03231677,0.0001470681,0.00002187486,0.0000391111,0.0001203215,0.0006276459,0.0004952815,0.0003507264,0.9657666,0.00002578448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005754231,0.00005135459,0.00003804941,0.00003599461,0.000007263789,0.00001552499,0.9981672,0.00008939732,0.001019804],"genre_scores_gemma":[0.001620911,0.00005836516,0.0003139616,0.00002070118,0.000001934417,0.00004810139,0.9962595,0.00002789112,0.001648611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8535028,"threshold_uncertainty_score":0.2947199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05916210106465811,"score_gpt":0.3012360546548868,"score_spread":0.2420739535902287,"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."}}