{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001622144,0.00006415835,0.00009983668,0.00002507694,0.007002177,0.0006211079,0.000217288,0.00004936241,0.009134198],"category_scores_gemma":[0.000116115,0.00003934503,0.00005127437,0.0005269505,0.0002027871,0.0004011554,0.00008840114,0.00004285496,0.00006573781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099897,"about_ca_system_score_gemma":0.0002234109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04038425,"about_ca_topic_score_gemma":0.5379403,"domain_scores_codex":[0.9993013,0.00004568117,0.0001149956,0.0001605411,0.0001698438,0.0002076895],"domain_scores_gemma":[0.9994543,0.0001896689,0.0000436209,0.0001163361,0.0001085275,0.00008759391],"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":[0.000005519148,0.00004207024,0.0004026761,5.424426e-7,0.00002343533,0.000001262388,0.0007079046,6.738052e-7,0.00001315285,0.002882106,0.9935066,0.002414118],"study_design_scores_gemma":[0.0002372316,0.00001749713,0.005039741,0.00001623822,0.00001223154,4.759761e-7,0.002104845,0.000001225696,0.00001404935,0.004826386,0.9876284,0.0001017036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001718675,0.00002293312,0.0001316422,0.002883448,0.001061273,0.0002989002,0.00002251708,0.0000429067,0.9938177],"genre_scores_gemma":[0.3695751,0.00008741354,0.0001171884,0.00005148755,0.0001708034,0.00005718638,2.685226e-7,0.000004137033,0.6299365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.497556,"threshold_uncertainty_score":0.9942906,"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."}}