{"id":"W6885994632","doi":"10.14288/1.0229020","title":"Motor to friendly Canada","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destinations; Tourism; Tourist destinations; Quality (philosophy)","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":[0.0002273429,0.0007039271,0.000446921,0.001001904,0.006172346,0.002448009,0.0005958828,0.001294656,0.5656747],"category_scores_gemma":[0.0009120126,0.0003033749,0.0002993391,0.00108852,0.0005499382,0.0009049731,0.001329134,0.001418138,0.1594544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004819165,"about_ca_system_score_gemma":0.01269175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8206224,"about_ca_topic_score_gemma":0.9670051,"domain_scores_codex":[0.9997581,0.000009744192,0.000003791796,0.00002228021,0.0001041145,0.0001018812],"domain_scores_gemma":[0.9989871,0.00004126358,0.00001809136,0.00001939408,0.0006360612,0.0002980804],"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":[0.00002392705,0.000010317,0.0002419237,0.00003308814,0.000001045219,0.00006634769,0.0001099753,0.00001485841,0.0001197684,0.0003428344,0.989792,0.009243964],"study_design_scores_gemma":[0.000004761867,0.000005932392,0.001753108,0.00004159878,0.000001832473,0.00003262256,0.0005182807,0.00002568486,0.00008912504,0.00006385,0.9974558,0.000007367261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004958343,0.003376456,0.0004501216,0.01442401,0.008450773,0.0002459348,0.00979075,0.001398623,0.9569049],"genre_scores_gemma":[0.00452484,0.000491894,0.0001461408,0.001400757,0.0001673527,0.00001319755,0.0006710342,0.0001176652,0.9924671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5656747,"threshold_uncertainty_score":0.6195123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482933649478057,"score_gpt":0.3273693720675763,"score_spread":0.3025400355727957,"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."}}