{"id":"W6886056798","doi":"10.14288/1.0229149","title":"Vancouver wharf December abstract differences","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wharf; Marine safety; Population","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002474354,0.0003753286,0.0004946049,0.003895962,0.008676445,0.009151414,0.00145935,0.002241984,0.2675607],"category_scores_gemma":[0.00849867,0.0005367791,0.0004622051,0.005433495,0.001710168,0.001781918,0.002631095,0.002721262,0.02819663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02139868,"about_ca_system_score_gemma":0.0201169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6739948,"about_ca_topic_score_gemma":0.8636919,"domain_scores_codex":[0.9949616,0.0003417423,0.0001943827,0.0004701968,0.002991627,0.001040336],"domain_scores_gemma":[0.9922702,0.0008829309,0.0002060862,0.0007128765,0.004801612,0.001126183],"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":[0.0002067083,0.0001020892,0.007042473,0.0001457675,0.00001622991,0.0002732935,0.002085221,0.0001785184,0.0003511501,0.0338092,0.8653201,0.09046929],"study_design_scores_gemma":[0.00001515751,0.00001340653,0.03392579,0.0001261589,0.000006732302,0.00006106647,0.003494687,0.0000541215,0.0002717687,0.002043836,0.9599687,0.00001858875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01732716,0.001250359,0.0001937901,0.006841888,0.001369193,0.00009544013,0.007931817,0.0001579366,0.9648324],"genre_scores_gemma":[0.05414365,0.0006695521,0.0003808108,0.00105099,0.0001294144,0.00004881519,0.005023207,0.0001395691,0.938414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7324393,"threshold_uncertainty_score":0.8950796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499629094490536,"score_gpt":0.3134600253493416,"score_spread":0.2784637344044362,"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."}}