{"id":"W6945093935","doi":"10.21963/12678","title":"Canadian Ice Island Drift, Deterioration and Detection database (CI2D3 database)","year":2018,"lang":"en","type":"dataset","venue":"Canadian Cryospheric Information Network","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iceberg; Glacier; Sea ice; Ice shelf; Antarctic sea ice; Ice stream; Cryosphere; Ice sheet; Seabed gouging by ice","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":[0.0008278973,0.001282368,0.000684369,0.005639325,0.001861394,0.001872964,0.002820735,0.000694844,0.0166253],"category_scores_gemma":[0.003470877,0.0003877043,0.0005842466,0.009445895,0.0004312017,0.001009863,0.001312765,0.0009410864,0.006473701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034982,"about_ca_system_score_gemma":0.03073706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9552797,"about_ca_topic_score_gemma":0.9697826,"domain_scores_codex":[0.999208,0.00002705316,0.00006310218,0.0001288438,0.0004477291,0.0001252689],"domain_scores_gemma":[0.9968482,0.0001449007,0.0002040474,0.0003324545,0.002141875,0.0003285527],"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":[0.0001507953,0.00003810264,0.01437619,0.0004808462,0.00006957059,0.0001606243,0.0001492217,0.002636358,0.0007297123,0.003983264,0.9541514,0.02307389],"study_design_scores_gemma":[0.0001124657,0.00001417829,0.03301196,0.0002046459,0.00007092163,0.00009991782,0.000265886,0.007861795,0.001520293,0.001604849,0.955129,0.0001040514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002064089,0.000178042,0.001656591,0.0001464208,0.00002396264,0.0001170133,0.986037,0.0007906882,0.008986242],"genre_scores_gemma":[0.009094689,0.000245724,0.005717295,0.00007459873,0.00000479586,0.0001538333,0.9818594,0.0001321102,0.002717592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04472029,"threshold_uncertainty_score":0.08996725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00455670016043097,"score_gpt":0.1793806274774506,"score_spread":0.1748239273170196,"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."}}