{"id":"W6890169924","doi":"10.34943/8667d651-b118-4649-9d24-3eeadddce89a","title":"Saanich Accelerometer Deployed 2022-08-15","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accelerometer; Software deployment; Acceleration; Measure (data warehouse); Global Positioning System","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":[0.0006516236,0.001875469,0.0009742317,0.001639333,0.0008754681,0.001256754,0.002067212,0.001244537,0.02136989],"category_scores_gemma":[0.002435174,0.0004239769,0.0005386858,0.003581056,0.0003918921,0.0009815604,0.00121858,0.001271661,0.05786909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372546,"about_ca_system_score_gemma":0.002499925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1411513,"about_ca_topic_score_gemma":0.2575671,"domain_scores_codex":[0.9990515,0.0001039533,0.00006651798,0.0002462049,0.0003715379,0.0001601787],"domain_scores_gemma":[0.9987918,0.00007417909,0.00005813944,0.000292039,0.0006715562,0.0001124358],"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":[0.00005061679,0.00002069329,0.001142108,0.0001114373,0.00001281194,0.0000249302,0.00001941513,0.0004284847,0.0001641125,0.0003328754,0.9943538,0.003338716],"study_design_scores_gemma":[0.0001144294,0.00002605206,0.0135527,0.0001378741,0.00001410001,0.00006992834,0.000186064,0.00172425,0.0006040242,0.001035374,0.9824935,0.0000416173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007178285,0.00006588367,0.0002482415,0.0001044099,0.0000762026,0.0000287993,0.9950236,0.0007308061,0.003004196],"genre_scores_gemma":[0.00125925,0.00003442095,0.0003845567,0.00003542696,0.00001171804,0.00005949569,0.9965641,0.00005815789,0.001592883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588488,"threshold_uncertainty_score":0.2806593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010459679301626,"score_gpt":0.2136056112341727,"score_spread":0.2035010144411565,"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."}}