{"id":"W6925157061","doi":"10.17632/292jx9cnvx","title":"Ice throw collection campaign, 2011-2013 in Gaspe, Canada","year":2019,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icing; Windmill; Arctic ice pack; Iceberg; Sea ice; Drift ice; Ice formation; Freezing rain","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003438971,0.0002909456,0.0002969575,0.00009542532,0.00006596154,0.00004803369,0.001458072,0.0003722208,0.0006016727],"category_scores_gemma":[0.0001186105,0.0002862962,0.00003345974,0.0001270786,0.00003863415,0.000007941424,0.001239858,0.0003726912,0.0001233608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301081,"about_ca_system_score_gemma":0.001739794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4696819,"about_ca_topic_score_gemma":0.9643664,"domain_scores_codex":[0.9979407,0.0001287468,0.000303199,0.0008294429,0.0003761651,0.0004217153],"domain_scores_gemma":[0.9971837,0.00002134246,0.0001301877,0.002466229,0.00007070282,0.0001277764],"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":[0.00004823323,0.00007361305,0.00007708235,0.0000636285,0.00004140495,0.00001951283,0.000001847268,0.00001271942,0.0005067079,9.309408e-7,0.998982,0.0001723661],"study_design_scores_gemma":[0.0004404928,0.00008593345,0.0001191002,0.00002513798,0.00002099798,0.00001313903,0.00003918041,0.0006510427,0.0000748826,0.000003115756,0.9981993,0.0003276078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008843681,0.0003889966,0.0000301176,0.0002393716,0.0008171646,0.0003617927,0.9969806,0.000004351311,0.0002932481],"genre_scores_gemma":[0.0002003342,0.00408767,0.0000712631,0.0007288681,0.0001970859,0.00001672863,0.9898565,0.00002584294,0.004815655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4946845,"threshold_uncertainty_score":0.9999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771760121686107,"score_gpt":0.2836032215105985,"score_spread":0.2558856202937374,"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."}}